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