Graduates at doctoral level, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 25-34 ta_resdig_sctech_rdperes_perf__educ_uoe_grad07

Time format:
Years
Unit:
Per thousand inhabitants (comparable)
EU28
EU27_2020
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
IS
LI
NO
CH
UK
MK
AL
RS
TR
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
EU28
0.7
0.7(d)
0.7
0.7(d)
0.7(d)
EU27_2020
0.7
0.6
0.5
0.6
0.6(d)
0.7
0.7(d)
0.7(d)
BE
0.3
0.3
0.3
0.3
0.3
0.2
0.3
0.3
0.5
0.5
BG
0.2
0.2
0.1
0.2
0.2
0.2
0.2
0.2
0.5
0.3
CZ
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.6
0.5
DK
0.4
0.4
0.4
0.4
0.4
0.4
0.5
0.5
0.9
0.8
DE
0.4
0.4
0.4
0.4
0.4
0.4
0.4
0.4
0.8
0.8
EE
0.4
0.3
0.3
0.3
0.3
0.4
0.3
0.3
0.5
0.3
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
EL
0.2
0.3
0.2
0.2
0.2
0.2
0.2
0.2
0.4
0.3
ES
0.4
0.3
0.3
0.3
0.6
0.6
0.5
0.5
0.7
0.7
FR
0.5
0.3
0.3
0.3
0.3(d)
0.4
0.4
0.4
0.8
0.8
HR
0.3
0.2
0.2
0.2
0.2
0.2
0.2
0.3
0.5
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
CY
0.1
0.2
0.2
0.1
0.1
0.1
0.2
0.1
0.2
0.1
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
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
MT
0.1
0
0.1
0
0.1
0.1
0.1
0.1
0.1
0.1
NL
0.2
0.2
0.2
0.2
0.2
0.2
(d)
AT
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.5
0.6
PL
0.1(de)
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.2
PT
0.4
0.3
0.3
0.3
0.4
0.4
0.4
0.3
0.7
0.8
RO
0.1
0.2
0.1
0.1
0.1
0.1
0.1
0.2
0.4
0.6
SI
0.4
0.3
0.3
0.3
0.3
0.3
1.3
0.6
1.3
1.3
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
SE
0.4
0.3
0.4
0.4
0.4
0.5
0.5
0.5
1
1
IS
0.2
0.3
0.3
0.2
0.1
0.3
0.3
0.3
0.9
0.5
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
MK
0.1
0.1
0
0.1
0.1
0
0
0.1
0.1
0.1
AL
0.1
0.1
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