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
UK
LT
AT
FI
IE
DK
SI
ES
PT
SK
DE
RO
CH
CZ
MT
EL
EE
HR
SE
BG
IS
LV
NO
IT
BE
LI
HU
MK
CY
LU
AL
EU27_2020
EU28
FR
ME
NL
PL
RS
TR
2024
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
UK
26.2(d)
25.2(d)
23.7(d)
22.9(d)
22.2
22.8
23
LT
18.1
17.9
19.5
19.5
20.4
20.5
19.7
18.7
19
19.3
22.5
AT
25.5
24.6
24.3
25
24.4
23.4
22.8
22
22.1
21.9
23
22.2
FI
32.9
28.8
26.5
25.6
26.5
24.8
23.8
22.4
24.3
23.7
22.3
22
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
DK
26.9
25.4
26.1
23.9
23.7
23.3
22.6
23.3
20.2
20.8
19.9
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
SK
13.9
13
13.2
13.2
13
12.9
13.9
14.7
15.8
16.6
17.2
18
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
RO
19
19
18.6
19.1
18.4
17.5
15.9
15.1
14.4
14.9
16.6
17.6
CH
24.9
24
23.7
21.8
22
21.2
20.7
20.3
20
18.4
17.5
CZ
16.1
15.8
16
16
16.1
16.5
16.8
17
17.2
16.6
16.9
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
EL
23.1
21.3
20.1
16.8
17.2
17.6
17.9
17.1
17.1
16.2
15.7
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
HR
22.1
21.9
22.6
22.4
21.4
19.9
19.5
17.8
17.3
15.7
15.5
SE
20.5
20.7
19.2
17.2
15.8
14.9
15
15.5
15.3
14.7
14.7
BG
16.4
16.8
16.5
15
15.8
15.2
15.8
15.2
15.8
14.2
14.6
IS
16.5
16.3
16
14.6
15.9
15.2
17.4
18
16.5
16.3
14.4
LV
15.6
14.7
15.1
14.1
14
13.8
12.7
12.7
12.9
13.1
14.1
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
BE
17.2
16.4
16.4(d)
15.7(d)
14.2(d)
14
13.6
14.3
13.3
14
13
LI
9.1
18.5
13.8
9
7
11.3
11.3
11.5
11.4
12.7
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
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
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
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)
EU28
21.6
20.5(d)
20.2
20(d)
19.8(d)
19.1(d)
FR
28
27.6
29.9
29.6
29
27.3
26.5(d)
26.2
25.5
24.7
(d)
ME
9.4
11.2
12.4
(d)
(d)
(d)
(d)
NL
16.1
15.4
15.5
13.8
13.6
12.8
12
(d)
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)
RS
17.6
16
16.2
16.5
16
15.5
16.2
15.1
14.9
14.9
TR
12.7
12.6
14.2
13
12.8
13
12.5
12.1
12

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