Graduates in tertiary education, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 20-29 ta_eductrain_parteduc_numbgrad__educ_uoe_grad04

Time format:
Years
Unit:
Rate per 1000 population (comparable)
ES
CH
UK
FI
DE
IE
DK
EE
EU28
PT
SE
CZ
EU27_2020
FR
RS
SI
AT
BE
NO
SK
IT
LI
LU
BG
HR
EL
LT
NL
HU
IS
LV
PL
CY
RO
TR
MT
MK
AL
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
ES
0.8
0.7
0.7
0.7
1.4
1.5
1.3
1.1
0.9
0.8
CH
1.5
1.6
1.5
1.4
1.5
1.3
1.3
1.1
1
UK
1.4
1.3
1.2
1.1
1.1
1.1
1.1
FI
0.8
0.6
0.8
0.8
0.9
0.9
1
1
0.9
0.9
DE
0.9
0.9
0.8
0.9
0.9
0.9
0.9
0.9
0.9
0.9
IE
0.9(d)
0.9(d)
0.9(d)
0.9(d)
0.9(d)
0.8
0.9
0.8
1
0.9
DK
0.8
0.8
0.7
0.8
0.8
0.8
0.9
0.9
0.8
0.8
EE
1
0.8
0.8
0.8
0.8
0.9
0.7
0.6
0.5
0.7
EU28
0.8
0.8(d)
0.8
0.8(d)
0.8(d)
0.7(d)
PT
0.7
0.6
0.6
0.7
0.8
0.8
0.9
0.8
0.8
0.9
SE
0.9
0.8
0.9
0.8
0.8
0.9
0.9
1
0.9
0.9
CZ
0.8
0.7
0.6
0.8
0.7
0.7
0.6
0.6
0.6
0.6
EU27_2020
0.7
0.6
0.6
0.6
0.7(d)
0.7
0.7(d)
0.7(d)
0.7(d)
FR
1
0.6
0.6
0.7
0.7(d)
0.9
0.8
0.8
0.8
0.8
RS
0.5
0.4
0.5
0.5
0.7
0.7
0.6
0.5
0.3
SI
0.9
0.6
0.7
0.8
0.7
0.6
3.1
1.5
1.5
1.5
AT
0.6
0.6
0.6
0.6
0.6
0.6
0.6
0.5
0.6
0.6
BE
0.7
0.7
0.6
0.6
0.6
0.5
0.6
0.6
0.5
0.5
NO
0.7
0.6
0.7
0.6
0.6
0.6
0.6
0.6
0.7
SK
0.7
0.7
0.6
0.6
0.6
0.7
0.8
0.8
0.9
0.9
IT
0.7
0.6
0.6(p)
0.6
0.5
0.6(d)
0.7
0.7
0.7
0.7
LI
0
1.3
0.9
0.5
0
0
0
0
0
LU
1.3
0.7
0.4
0.6
0.5
0.7
0.4
0.4
0.2
0.3
BG
0.4
0.4
0.4
0.4
0.4
0.5
0.5
0.5
0.5
0.4
HR
0.7
0.5
0.4
0.4
0.4
0.5
0.4
0.6
0.5
0.5
EL
0.5
0.6
0.5
0.5
0.4
0.5
0.5
0.4
0.4
0.3
LT
0.6
0.4
0.4
0.4
0.4
0.4
0.3
0.4
0.4
0.4
NL
0.4
0.5
0.4
0.5
0.4
0.4
(d)
HU
0.4
0.3
0.2
0.3
0.3
0.2
0.2
0.3
0.3
0.2
IS
0.5
0.7
0.6
0.5
0.3
0.5
0.5
0.5
0.9
0.5
LV
0.4
0.3
0.2
0.3
0.3
0.3
0.3
0.4
0.4
0.4
PL
0.3(de)
0.2
0.2
0.3
0.3
0.2
0.3
0.3
0.2
(d)
CY
0.3
0.4
0.3
0.3
0.2
0.2
0.3
0.2
0.2
0.2
RO
0.3
0.4
0.2
0.3
0.2
0.2
0.3
0.5
0.5
0.6
TR
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.1
MT
0.2
0.1
0.2
0.1
0.1
0.2
0.2
0.2
0.1
0.1
MK
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
AL
0.3
0.1

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