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)
Keywords:
computing, construction, doctoral, doctorate, doctorates, education, engineering, graduate, graduates, graduation, graduations, ICT, manufacturing, math, mathematics, participation in education, participation in formal education, participation in non-formal education, participation rate in education, PhD, PhDs, science, science-related, sciences, scientific, skills, STEM, training
EU28
UK
LI
ME
AL
MK
MT
PL
TR
CY
LV
RO
BG
HU
RS
HR
LT
EE
EL
IT
NL
PT
SK
SI
CZ
EU27_2020
FR
IS
ES
AT
BE
FI
NO
IE
LU
SE
DK
DE
CH
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
EU28
0.9
0.9(d)
1
0.9(d)
0.9(d)
UK
1.6
1.6
1.5
1.5
1.4
1.3
1.4
LI
0
0
0.8
0.4
0.2
0
0
0
0
0.2
ME
0.1
0.1
0
(d)
(d)
(d)
0
AL
0
0.2
0.1
MK
0.2
0.1
0.2
0.1
0.1
0.1
0.1
0.1
0.1
0.2
0.2
0.2
MT
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.2
0.1
PL
0.3(de)
0.4(de)
0.3(de)
0.2
0.2
0.3
0.2
0.2
0.2
0.3
0.2
TR
0.3
0.3
0.2
0.2
0.2
0.2
0.2
0.2
0.1
CY
0.3
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
RO
0.5
0.3
0.3
0.3
0.2
0.2
0.2
0.2
0.3
0.5
0.5
0.7
BG
0.3
0.4
0.4
0.3
0.4
0.4
0.5
0.5
0.5
0.5
0.4
HU
0.6
0.5
0.5
0.4
0.3
0.3
0.3
0.3
0.3
0.3
0.3
0.3
RS
0.5
0.4
0.4
0.4
0.5
0.5
0.6
0.5
0.5
0.3
HR
0.7
0.7
0.5
0.5
0.5
0.5
0.5
0.4
0.6
0.6
0.5
LT
0.5
0.5
0.5
0.4
0.4
0.4
0.5
0.3
0.5
0.5
0.5
EE
0.9
0.7
0.8
0.7
0.6
0.7
0.7
0.7
0.7
0.6
0.6
0.7
EL
0.9
0.7
0.7
0.5
0.6
0.4
0.6
0.5
0.5
0.4
0.4
IT
0.9
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
0.8
0.8
0.8
0.8
0.8
0.8
0.8
SK
0.7
0.7
0.6
0.7
0.6
0.6
0.7
0.7
0.8
0.9
1
1
SI
0.9
0.8
0.8
0.7
0.7
0.8
0.8
0.8
3.4
1.4
1.4
1.7
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)
FR
1.3
1.3
1.1
0.8
0.8
0.9
0.9(d)
1.1
1
1.1
1
1.1
IS
0.5
0.5
0.8
0.6
0.6
0.4
0.5
0.6
0.7
0.7
0.5
ES
0.9
0.9
0.8
0.8
0.7
0.7
1.3
1.5
1.2
1
0.8
0.7
AT
1
0.8
0.8
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
0.9
BE
1
0.9
0.9
0.9
0.9
0.9
0.7
0.9
0.9
0.8
0.8
FI
1.2
1
1
0.9
1.1
1
1.1
1.1
1.2
1.3
1.2
1.2
NO
1
0.8
0.8
0.9
0.8
0.9
0.8
0.8
0.8
0.8
0.8
1
IE
1(d)
1.1(d)
1(d)
1(d)
1(d)
1(d)
0.9
1
1
1
0.9
LU
1.1
1.3
1.4
1
0.7
0.8
1
1
0.7
0.7
0.5
0.4
SE
1.1
1.1
1
1
1.2
1.1
1.3
1.4
1.5
1.5
1.4
DK
0.9
1
1.1
1
1.2
1.2
1.3
1.4
1.4
1.3
1.3
DE
1.2
1.1
1.1
1.2
1.1
1.2
1.2
1.2
1.2
1.3
1.2
1.2
CH
1.9
1.9
1.8
1.7
1.8
1.8
1.8
1.7
1.7
1.6
1.4

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