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