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)
EU28
LI
UK
LU
MK
MT
CY
TR
SK
AL
LV
HU
CZ
NL
BG
IS
BE
EE
RS
LT
RO
PL
NO
IT
SE
HR
EU27_2020
EL
SI
PT
ES
DE
AT
CH
DK
FR
FI
IE
2023
2022
2021
2020
2019
2018
2017
2016
2015
2014
2013
2012
EU28
21.6
20.5(d)
20.2
20(d)
19.8(d)
19.1(d)
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
6.1
5.6
4.9
4.2
3.9
4
3.8
3.9
3.4
3.5
3.6
MK
9.9
9.8
7.4
6.4
8.4
7.7
7.6
7.7
7
8.3
7.5
MT
10.7
11.7
11.3
10.1
11.1
12
13.8
13.7
15.3
15.7
15.8
CY
12
11.6
10.5
9.8
10.2
10
10.1
10.2
10
7.5
6.6
TR
12.7
12.6
14.2
13
12.8
13
12.5
12.1
12
SK
13
13.2
13.2
13
12.9
13.9
14.7
15.8
16.6
17.2
18
AL
15.2
14.9
13.4
LV
15.6
14.7
15.1
14.1
14
13.8
12.7
12.7
12.9
13.1
14.1
HU
15.9
13.1
13.5
23.5(d)
12.3
12.2
12.1
12.6
12.2
12.2
11.2
CZ
16.1
15.8
16
16
16.1
16.5
16.8
17
17.2
16.6
16.9
NL
16.1
15.4
15.5
13.8
13.6
12.8
12
(d)
BG
16.4
16.8
14.4
13.1
14
13.6
14.3
13.9
14.6
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
BE
17.2
16.4
16.4(d)
15.7(d)
14.2(d)
14
13.6
14.3
13.3
14
13
EE
17.2
18.1
19.6
17.3
16.5
15.7
16.5
16.2
15.5
13.5
15.6
RS
17.6
16
16.2
16.5
16
15.5
16.2
15.1
14.9
14.9
LT
18.1
17.9
18.2
18.7
19.8
19.9
18.9
18
18.5
19.3
22.5
RO
19
18.6
19.1
18.4
17.5
15.9
15.1
14.4
14.9
16.6
17.6
PL
19.5(de)
19.1(de)
18.2
17.7
20.1
20.9
23.6
21.5
21.4
20.5(d)
(d)
NO
19.9
18.4
19.3
16.8
16.5
16.6
16.5
14.3
14.5
14.6
14.1
IT
20.1
18.5
18.3
16.9(p)
16.6
15.5
14.5(d)
13.8
13.5(d)
13.9
13.8
SE
20.5
20.7
19.2
17.2
15.8
14.9
15
15.5
15.3
14.7
14.7
HR
22.1
21.9
20.5
20.6
19.8
18.6
18.5
17.1
16.8
15.7
15.5
EU27_2020
22.4
22.3
22.1
21
20.8
19.7(d)
19.6
19.5(d)
19.4(d)
18.5(d)
EL
23.1
21.3
20.1
16.8
17.2
17.6
17.9
17.1
17.1
16.2
15.7
SI
23.3
22.4
21.6
20.5
20.8
20.7
19.4
33.3
19.9
19.8
19.8
PT
23.4
22.6
22.7
21.7
20.9
20.5
20.6
19.2
18.6
17.8
18.6
ES
23.5
23.1
23.4
20.9
20.9
21.5
21.9
21.6
22.4
21.1
19.4
15.6
DE
24.2
24.3
24
22.3
24.4
20.1
20.4
20.1(d)
20.5(d)
19.3
17.8
AT
24.6
24.3
25
24.4
23.4
22.8
22
22.1
21.9
23
22.2
CH
24.9
24
23.7
21.8
22
21.2
20.7
20.3
20
18.4
17.5
DK
26.9
25.4
26.1
23.9
23.7
23.3
22.6
23.3
20.2
20.8
19.9
FR
27.6
29.9
29.7
29.2
27.4
26.5(d)
26.2
25.5
24.7
(d)
FI
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)
40.3(d)
39.9(d)
36.9(d)
35.2(d)
32.7
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