EIGE

Graduates in tertiary education, in science, math., computing, engineering, manufacturing, construction, by sex - per 1000 of population aged 20-29 ta_eductrain_parteduc_numbgrad__educ_uoe_grad04

Time format:
Years
Unit:
Rate per 1000 population (comparable)
Keywords:
computing, construction, education, engineering, graduate, graduates, graduation, graduations, higher education, ICT, manufacturing, math, mathematics, participation in education, participation in formal education, participation in non-formal education, participation rate in education, science, science-related, sciences, scientific, skills, STEM, tertiary education, training
AL
EU28
IS
IE
LI
UK
LU
ME
MT
MK
CY
TR
SK
HU
LV
BG
CZ
NL
LT
BE
RS
EE
RO
PL
IT
NO
HR
EL
EU27_2020
SE
SI
DE
PT
ES
AT
CH
DK
FR
FI
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
AL
15.2
14.9
13.4
EU28
21.6
20.5(d)
20.2
20(d)
19.8(d)
19.1(d)
IS
16.5
16.3
16
14.6
15.9
15.2
17.4
18
16.5
16.3
14.4
IE
39.5(d)
40.3(d)
40(d)
39.4(d)
36.6(d)
35(d)
32.6
30.6
29.8
23.9
21.6
LI
9.1
18.5
13.8
9
7
11.3
11.3
11.5
11.4
12.7
UK
26.2(d)
25.2(d)
23.7(d)
22.9(d)
22.2
22.8
23
LU
5.6
6.1
5.6
4.9
4.2
3.9
4
3.8
3.9
3.4
3.5
3.6
ME
9.4
11.2
12.4
(d)
(d)
(d)
(d)
MT
9.7
10.7
11.7
11.5
10.4
11.5
12.4
14.1
13.9
15.5
15.7
15.8
MK
10.5
9.9
9.8
7.4
6.4
8.4
7.7
7.6
7.7
7
8.3
7.5
CY
12
12
11.6
10.5
9.8
10.2
10
10.1
10.2
10
7.5
6.6
TR
12.9
12.7
12.6
14.2
13
12.8
13
12.5
12.1
12
SK
13.9
13
13.2
13.2
13
12.9
13.9
14.7
15.8
16.6
17.2
18
HU
14.4
15.9
13.1
13.8
24.1(d)
12.5
12.4
12.2
12.8
12.3
12.2
11.2
LV
15.5
15.6
14.7
15.1
14.1
14
13.8
12.7
12.7
12.9
13.1
14.1
BG
17
16.4
16.8
16.5
15
15.8
15.2
15.8
15.2
15.8
14.2
14.6
CZ
17.1
16.1
15.8
16
16
16.1
16.5
16.8
17
17.2
16.6
16.9
NL
17.1
16.1
15.4
15.5
13.8
13.6
12.8
12
(d)
LT
17.3
18.1
17.9
19.5
19.5
20.4
20.5
19.7
18.7
19
19.3
22.5
BE
17.5
17.2
16.4
16.4(d)
15.7(d)
14.2(d)
14
13.6
14.3
13.3
14
13
RS
18.4
17.6
16
16.2
16.5
16
15.5
16.2
15.1
14.9
14.9
EE
18.8
17.2
18.1
19.6
17.3
16.5
15.7
16.5
16.2
15.5
13.5
15.6
RO
19
19
18.6
19.1
18.4
17.5
15.9
15.1
14.4
14.9
16.6
17.6
PL
20(de)
19.5(de)
19.1(de)
18.8
17.7
20.1
20.9
23.6
21.5
21.4
20.5(d)
(d)
IT
21.2
20.1
18.5
18.3
16.9(p)
16.6
15.7
14.6(d)
14
13.7(d)
13.9
13.8
NO
21.2
19.9
18.4
19.3
16.8
16.5
16.6
16.5
14.2
14.5
14.6
14.1
HR
21.4
22.1
21.9
22.6
22.4
21.4
19.9
19.5
17.8
17.3
15.7
15.5
EL
21.7
23.1
21.3
20.1
16.8
17.2
17.6
17.9
17.1
17.1
16.2
15.7
EU27_2020
22.8(d)
22.4
22.3
22.1
21
20.8
19.7(d)
19.7
19.6(d)
19.4(d)
18.5(d)
SE
22.8
20.5
20.7
19.2
17.2
15.8
14.9
15
15.5
15.3
14.7
14.7
SI
23.3
23.3
22.4
21.6
20.5
20.8
20.7
19.4
33.3
19.9
19.8
19.8
DE
24.4
24.2
24.3
24
22.3
24.4
20.1
20.4
20.1(d)
20.5(d)
19.3
17.8
PT
24.8
23.4
22.6
22.9
21.8
21
20.5
20.6
19.3
18.7
17.8
18.6
ES
24.8
23.5
23.1
23.4
20.9
20.9
21.5
21.8
21.5
22.4
21.1
19.4
15.6
AT
25.5
24.6
24.3
25
24.4
23.4
22.8
22
22.1
21.9
23
22.2
CH
25.6
24.9
24
23.7
21.8
22
21.2
20.7
20.3
20
18.4
17.5
DK
26.5
26.9
25.4
26.1
23.9
23.7
23.3
22.6
23.3
20.2
20.8
19.9
FR
28
27.6
29.9
29.6
29
27.3
26.5(d)
26.2
25.5
24.7
(d)
FI
32.9
28.8
26.5
25.6
26.5
24.8
23.8
22.4
24.3
23.7
22.3
22

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