EIGE

E-skills ta_eductrain_skills_comp__isoc_bde15csk

Time format:
Years
Unit:
% of individuals (comparable)
Keywords:
computer skills, e-skills, education, IT skills, skills, training
ME
MK
MT
TR
PT
IT
CY
LT
BG
SI
ES
HU
EE
EL
FR
HR
LU
RO
EU27_2020
EU28
EU15
EU25
LV
AT
RS
DK
PL
IS
BE
DE
CZ
IE
UK
NO
FI
SK
NL
SE
2014
2012
2011
2009
2007
2006
2005
ME
19.09
MK
18.5
20.86
21.52
23.07
MT
15.39
15.36
15.64
14.25
8.63
8.62
9.06
TR
9.04
8.87
11.18
9.21
PT
9.76
11.47
10.92
10.87
9.33
8.44
8.42
IT
13.28
12.87
11.77
10.32
9.43
8.18
4.79
CY
19.3
10.97
9.88
6.17
9.96
8.11
8.54
LT
12.66
10.34
9.16
9.04
9.97
11.8
9.18
BG
16.18
13.21
13.42
11.08
10.15
12.16
SI
14.79
12.01
10.94
14.87
10.22
10.64
10.8
ES
12.47
11.94
10.91
11.86
10.24
12.03
HU
19.16
14.69
14.36
15.19
10.25
10.1
7.72
EE
17.21(b)
12.64
11.21
10.31
11.46
9.93
16.26
EL
13.31
9.15
9.55
13.51
11.49
12.6
11.87
FR
18.15
19.14
17.83
13.63
11.93
11.05
HR
21
14.2
12.42
8.77
11.99
LU
18.11
15.96
12.27
15.21
13.62
14.05
13.51
RO
16.91(b)
13.14
14.2
16.01
13.67
12.79
EU27_2020
17.5
17.78
16.19
15.14
14.19
EU28
17.66
17.87
16.42
15.54
14.73
EU15
17.9
18.58
16.85
15.57
14.74
14.41
16.31
EU25
15.67
14.88
14.63
16.27
LV
13.79
13.87
12.72
11.88
15.74
17
19.45
AT
16.27
17.99
13.92
16.84
15.81
15.04
12.86
RS
11.73
16.36
DK
18.26
13.98
13.57
18.01
16.57
18.01
13.74
PL
15.06
16.37
16.13
17.44
16.77
17.57
19.02
IS
16.84
12.24
12.97
16.57
17
14.64
11.18
BE
24.79
22.99
17.41
19.59
17.79
16.27
DE
22.09
26.63
22.81
19.06
18.04
20.39
24.67
CZ
19.72
20.19
15.71
14.78
18.09
16.05
IE
15.38
12.16
13.95
13.48
18.13
13.84
UK
18.99
18.51
18.07
18.52
18.78
15.11
17.01
NO
16.71
19.16
17.71
20.2
19.63
20.43
27.47
FI
14.49
17.18
14.44
19.83
20.41
17.68
20.21
SK
21.7
20.09
19.2
20.84
20.62
19.94
17.16
NL
28.85
26.02
24.15
17.72
21.54
21.46
20.71
SE
22.6
22.53
21.92
26.54
22.35
23.16
21.94

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