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)
CH
ES
UK
DK
SE
DE
FI
FR
EU28
LU
AT
CZ
EU27_2020
IE
NO
SI
BE
EE
IT
NL
PT
SK
EL
RS
BG
HR
IS
LT
HU
CY
LV
MT
PL
RO
TR
MK
LI
AL
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
CH
1.9
1.9
1.8
1.7
1.8
1.8
1.8
1.7
1.7
1.6
1.4
ES
0.9
0.8
0.8
0.7
0.7
1.3
1.5
1.2
1
0.8
0.7
UK
1.6
1.6
1.5
1.5
1.4
1.3
1.4
DK
0.9
1
1.1
1
1.2
1.2
1.3
1.4
1.4
1.3
1.3
SE
1.1
1.1
1
1
1.2
1.1
1.3
1.4
1.5
1.5
1.4
DE
1.1
1.1
1.2
1.1
1.2
1.2
1.2
1.2
1.3
1.2
1.2
FI
1
1
0.9
1.1
1
1.1
1.1
1.2
1.3
1.2
1.2
FR
1.3
1.1
0.8
0.8
0.9
0.9(d)
1.1
1
1.1
1
1.1
EU28
0.9
0.9(d)
1
0.9(d)
0.9(d)
LU
1.3
1.4
1
0.7
0.8
1
1
0.7
0.7
0.5
0.4
AT
0.8
0.8
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
CZ
0.9
0.8
0.8
0.7
0.8
0.9
0.9
0.8
0.8
0.8
0.8
EU27_2020
0.9
0.8
0.8
0.7
0.8
0.8(d)
0.9
0.9(d)
0.9(d)
IE
1(d)
1.1(d)
1(d)
1(d)
1(d)
1(d)
0.9
1
1
1
0.9
NO
0.8
0.8
0.9
0.8
0.9
0.8
0.8
0.8
0.8
0.8
1
SI
0.8
0.8
0.7
0.7
0.8
0.8
0.8
3.4
1.4
1.4
1.7
BE
1
0.9
0.9
0.9
0.9
0.9
0.7
0.9
0.9
0.8
0.8
EE
0.7
0.8
0.7
0.6
0.7
0.7
0.7
0.7
0.6
0.6
0.7
IT
0.9
0.8
0.7
0.6(p)
0.6
0.6
0.7(d)
0.7
0.7
0.7
0.7
NL
0.7
0.7
0.7
0.6
0.8
0.7
0.7
(d)
PT
0.8
0.8
0.7
0.7
0.7
0.8
0.7
0.8
0.8
0.8
0.8
SK
0.7
0.6
0.7
0.6
0.6
0.7
0.7
0.8
0.9
1
1
EL
0.9
0.7
0.7
0.5
0.6
0.4
0.6
0.5
0.5
0.4
0.4
RS
0.5
0.4
0.4
0.4
0.5
0.5
0.6
0.5
0.5
0.3
BG
0.3
0.4
0.3
0.3
0.4
0.4
0.5
0.4
0.5
0.5
0.4
HR
0.7
0.7
0.5
0.4
0.4
0.4
0.5
0.4
0.6
0.6
0.5
IS
0.5
0.5
0.8
0.6
0.6
0.4
0.5
0.6
0.7
0.7
0.5
LT
0.5
0.5
0.5
0.4
0.4
0.4
0.4
0.3
0.5
0.5
0.5
HU
0.5
0.5
0.4
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.3
CY
0.5
0.4
0.3
0.4
0.4
0.3
0.2
0.3
0.2
0.2
0.2
LV
0.4
0.3
0.3
0.2
0.3
0.2
0.2
0.3
0.4
0.4
0.4
MT
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.1
PL
0.4(de)
0.3(de)
0.2
0.2
0.3
0.2
0.2
0.2
0.3
0.2
RO
0.3
0.3
0.3
0.2
0.2
0.2
0.2
0.3
0.5
0.5
0.7
TR
0.3
0.3
0.2
0.2
0.2
0.2
0.2
0.2
0.1
MK
0.1
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.2
0.2
LI
0
0
0.8
0.4
0.2
0
0
0
0
0.2
AL
0
0.2
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