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
SI
CH
DK
FI
ES
SE
UK
FR
DE
IE
SK
AT
BE
HR
CZ
EE
IS
IT
NO
PT
BG
EL
LV
LT
LU
RO
RS
CY
HU
MT
MK
PL
TR
LI
AL
NL
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)
SI
0.4
0.3
0.3
0.3
0.3
0.3
1.3
0.6
1.3
1.3
CH
0.7
0.7
0.7
0.6
0.6
0.6
0.6
1.1
0.9
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
ES
0.4
0.3
0.3
0.3
0.6
0.6
0.5
0.5
0.7
0.7
SE
0.4
0.3
0.4
0.4
0.4
0.5
0.5
0.5
1
1
UK
0.7
0.6
0.6
0.6
0.5
1.1
1.1
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
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
HR
0.3
0.2
0.2
0.2
0.2
0.2
0.2
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
IS
0.2
0.3
0.3
0.2
0.1
0.3
0.3
0.3
0.9
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
BG
0.2
0.2
0.1
0.2
0.2
0.2
0.2
0.2
0.5
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
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
RO
0.1
0.2
0.1
0.1
0.1
0.1
0.1
0.2
0.4
0.6
RS
0.2
0.2
0.2
0.2
0.3
0.3
0.2
0.2
0.3
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
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
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
AL
0.1
0.1
NL
0.2
0.2
0.2
0.2
0.2
0.2
(d)

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