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

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