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