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
ME
LU
MK
LI
CY
MT
HU
TR
SK
NL
LV
BE
BG
SE
IS
RS
CZ
EE
NO
IT
EL
RO
PL
LT
EU27_2020
SI
ES
PT
HR
EU28
CH
AT
DK
DE
FI
UK
FR
IE
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
AL
15.2
14.9
13.4
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
MK
10.5
9.9
9.8
7.4
6.4
8.4
7.7
7.6
7.7
7
8.3
7.5
LI
9.1
18.5
13.8
9
7
11.3
11.3
11.5
11.4
12.7
CY
12
12
11.6
10.5
9.8
10.2
10
10.1
10.2
10
7.5
6.6
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
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
TR
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
NL
16.1
15.4
15.5
13.8
13.6
12.8
12
(d)
LV
15.6
14.7
15.1
14.1
14
13.8
12.7
12.7
12.9
13.1
14.1
BE
17.2
16.4
16.4(d)
15.7(d)
14.2(d)
14
13.6
14.3
13.3
14
13
BG
16.4
16.8
16.5
15
15.8
15.2
15.8
15.2
15.8
14.2
14.6
SE
20.5
20.7
19.2
17.2
15.8
14.9
15
15.5
15.3
14.7
14.7
IS
16.5
16.3
16
14.6
15.9
15.2
17.4
18
16.5
16.3
14.4
RS
17.6
16
16.2
16.5
16
15.5
16.2
15.1
14.9
14.9
CZ
16.1
15.8
16
16
16.1
16.5
16.8
17
17.2
16.6
16.9
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
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
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
EL
23.1
21.3
20.1
16.8
17.2
17.6
17.9
17.1
17.1
16.2
15.7
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)
LT
18.1
17.9
19.5
19.5
20.4
20.5
19.7
18.7
19
19.3
22.5
EU27_2020
22.4
22.3
22.1
21
20.8
19.7(d)
19.7
19.6(d)
19.4(d)
18.5(d)
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
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
PT
23.4
22.6
22.9
21.8
21
20.5
20.6
19.3
18.7
17.8
18.6
HR
22.1
21.9
22.6
22.4
21.4
19.9
19.5
17.8
17.3
15.7
15.5
EU28
21.6
20.5(d)
20.2
20(d)
19.8(d)
19.1(d)
CH
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
DK
26.9
25.4
26.1
23.9
23.7
23.3
22.6
23.3
20.2
20.8
19.9
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
FI
32.9
28.8
26.5
25.6
26.5
24.8
23.8
22.4
24.3
23.7
22.3
22
UK
26.2(d)
25.2(d)
23.7(d)
22.9(d)
22.2
22.8
23
FR
28
27.6
29.9
29.6
29
27.3
26.5(d)
26.2
25.5
24.7
(d)
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

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