Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34 ta_eductrain_parteduc_numbgrad__educ_uoe_grad07

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

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