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