EIGE

How often do you feel, in your opinion, that you are good at your job? (% of respondents, 15+ workers) ta_wrklab_wrk_cond_jobsat__ewcs_jobengagement

Time format:
Years
Unit:
Percentage of workers (comparable)
Description:

Calculations are based on microdata from the European Working Conditions Survey (EWCS), coordinated by Eurofound. The survey aims to represent the population of all employed persons aged 15 or older.

The question considered is question Q90f from the 2015 EWCS survey in the EWCS Integrated Data File, 1991-2015: How often do you feel, in your opinion, that you are good at your job? 1 Always; 2 Often; 3 Sometimes; 4 Rarely; 5 Never.

For each response category, the indicator is calculated as the percentage of employed persons who answered the question using this response category out of all respondents who were asked to respond to this question.

The selection of relevant questions from the EWCS surveys to be included in the database was based on the following criteria:

  • Additionality: EWCS questions were included where they provided additional information compared to other data (such as Eurostat data) included in the database;
  • Policy & research relevance: EWCS questions were included where they were judged to be highly policy relevant and/or showed substantial gender variation in data;
  • Recent data: EWCS questions were included only if they were last asked less than ten years ago; and
  • Sufficient sample size: EWCS questions were included only if there was a sufficient number of respondents to allow for response breakdown by EU Member States and gender.
Keywords:
labor market, labour market, work, working conditions
EU28
BE
BG
CZ
DK
DE
EE
IE
EL
ES
FR
HR
IT
CY
LV
LT
LU
HU
MT
NL
AT
PL
PT
RO
SI
SK
FI
SE
NO
CH
UK
ME
MK
AL
RS
TR
2015
EU28
0.2
BE
0
BG
0.1
CZ
0.4
DK
0
DE
0.1
EE
0.5
IE
0.1
EL
0.6
ES
0.2
FR
0
HR
0.2
IT
0.2
CY
0.1
LV
1
LT
0.1
LU
0
HU
0.2
MT
0
NL
0
AT
0.1
PL
0.6
PT
0.1
RO
0
SI
0.2
SK
0.3
FI
0
SE
0
NO
0
CH
0.1
UK
0.1
ME
0
MK
0
AL
0.1
RS
0.2
TR
0.1

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