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
EU27_2020
EU28
NL
PL
RS
TR
LI
CY
MT
MK
HU
BG
EE
EL
LU
LV
BE
HR
CZ
IS
LT
AT
IT
RO
IE
NO
ES
DK
FR
DE
PT
SK
FI
CH
SE
UK
SI
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
AL
0.1
0.1
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)
NL
0.2
0.2
0.2
0.2
0.2
0.2
(d)
PL
0.1(de)
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.2
RS
0.2
0.2
0.2
0.2
0.3
0.3
0.2
0.2
0.3
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
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
HU
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.2
BG
0.2
0.2
0.1
0.2
0.2
0.2
0.2
0.2
0.5
0.3
EE
0.4
0.3
0.3
0.3
0.3
0.4
0.3
0.3
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
LU
0.5
0.3
0.2
0.3
0.2
0.3
0.2
0.2
0.1
0.3
LV
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.4
0.4
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
IS
0.2
0.3
0.3
0.2
0.1
0.3
0.3
0.3
0.9
0.5
LT
0.2
0.2
0.2
0.2
0.2
0.2
0.1
0.2
0.5
0.5
AT
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.5
0.6
IT
0.3
0.3
0.3(p)
0.3
0.2
0.3(d)
0.3
0.3
0.6
0.6
RO
0.1
0.2
0.1
0.1
0.1
0.1
0.1
0.2
0.4
0.6
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
NO
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.6
0.7
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
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
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
FI
0.4
0.3
0.4
0.4
0.4
0.4
0.5
0.5
0.9
0.9
CH
0.7
0.7
0.7
0.6
0.6
0.6
0.6
1.1
0.9
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
SI
0.4
0.3
0.3
0.3
0.3
0.3
1.3
0.6
1.3
1.3

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