B1a. Proportion of women graduates in tertiary (ISCED levels 5-8) and vocational (ISCED levels 3-4) education and training in the fields of science, technology, engineering and mathematics (STEM) – of all graduates in the study field bpfa_b_offic_b1__uoe_share_stem_ehw1

Time format:
Years
Unit:
Percentage (comparable)
Description:

The share of women graduates of all graduates in STEM fields of education indicates the gender composition of a persistently men-dominated study field.

The definition of study fields relies on the ISCED classification of education and training (ISCED-F 2013), thus enabling comparison of EU countries based on harmonised definitions. The indicator monitors two educational levels: vocational education, including upper secondary (ISCED 35) and post-secondary non-tertiary vocational education programmes (ISCED 45), and tertiary education across ISCED Levels 5–8.

Though data cover all EU Member States annually, data gaps across countries and years exist. Due to data availability and reliability limits (i.e. small sample size) across Member States, data are based on three-year averages (2013 to 2015). This helps to compensate for the data gaps in some years and to smooth variations due to a low number of graduates in selected fields and countries, where even small changes in terms of absolute numbers can indicate a large change in relative terms.

Keywords:
beijing, beijing platform for action, bpfa, education, educational attainment, educational attainment level, engineering, field of science, fields of science, graduate, graduates, graduation, graduations, health, health-related, isced, level of education, math, mathematics, science, science-related, sciences, scientific, STEM, technology, training, vocational
EU28
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
UK
2015
EU28
33
BE
26
BG
38
CZ
34
DK
35
DE
27
EE
40
IE
26
EL
38
ES
30
FR
31
HR
32
IT
41
CY
39
LV
33
LT
30
LU
27
HU
31
MT
29
NL
26
AT
26
PL
43
PT
40
RO
41
SI
32
SK
36
FI
28
SE
33
UK
38

Available flags:

b break in time series c confidential
d definition differs, see metadata e estimated
f forecast i see metadata
m imputed n not significant
p provisional r revised
s Eurostat estimate u low reliability
x dropped due to insufficient sample size y unreliable due to small sample size
z not applicable