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
FI
FR
DK
CH
AT
PT
ES
DE
SI
EU27_2020
SE
EL
HR
IT
NO
PL
RO
EE
RS
BE
LT
CZ
NL
BG
LV
HU
SK
TR
CY
MK
MT
ME
LU
AL
EU28
IS
IE
LI
UK
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
FI
32.9
28.8
26.5
25.6
26.5
24.8
23.8
22.4
24.3
23.7
22.3
22
FR
28
27.6
29.9
29.6
29
27.3
26.5(d)
26.2
25.5
24.7
(d)
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
CH
25.6
24.9
24
23.7
21.8
22
21.2
20.7
20.3
20
18.4
17.5
AT
25.5
24.6
24.3
25
24.4
23.4
22.8
22
22.1
21.9
23
22.2
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
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
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
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
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
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
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
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)
RO
19
19
18.6
19.1
18.4
17.5
15.9
15.1
14.4
14.9
16.6
17.6
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
RS
18.4
17.6
16
16.2
16.5
16
15.5
16.2
15.1
14.9
14.9
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
LT
17.3
18.1
17.9
19.5
19.5
20.4
20.5
19.7
18.7
19
19.3
22.5
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)
BG
17
16.4
16.8
16.5
15
15.8
15.2
15.8
15.2
15.8
14.2
14.6
LV
15.5
15.6
14.7
15.1
14.1
14
13.8
12.7
12.7
12.9
13.1
14.1
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
SK
13.9
13
13.2
13.2
13
12.9
13.9
14.7
15.8
16.6
17.2
18
TR
12.9
12.7
12.6
14.2
13
12.8
13
12.5
12.1
12
CY
12
12
11.6
10.5
9.8
10.2
10
10.1
10.2
10
7.5
6.6
MK
10.5
9.9
9.8
7.4
6.4
8.4
7.7
7.6
7.7
7
8.3
7.5
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
ME
9.4
11.2
12.4
(d)
(d)
(d)
(d)
LU
5.6
6.1
5.6
4.9
4.2
3.9
4
3.8
3.9
3.4
3.5
3.6
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

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