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)
SI
UK
SE
FI
CH
DK
FR
DE
PT
SK
IE
NO
ES
AT
IT
RO
BE
HR
CZ
IS
LT
LV
BG
EE
EL
LU
HU
CY
MT
MK
LI
AL
EU27_2020
EU28
NL
PL
RS
TR
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
SI
0.4
0.3
0.3
0.3
0.3
0.3
1.3
0.6
1.3
1.3
UK
0.7
0.6
0.6
0.6
0.5
1.1
1.1
SE
0.4
0.3
0.4
0.4
0.4
0.5
0.5
0.5
1
1
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
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
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
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
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
LV
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.4
0.4
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
HU
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.2
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
LI
0
0.6
0.4
0.2
0
0
0
0
0
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

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