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