EIGE

How often do you feel exhausted at the end of the working day? (% of respondents, 15+ workers) ta_wrklab_wrk_cond_presstress__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 Q90d from the 2015 EWCS survey in the EWCS Integrated Data File, 1991-2015: How often do you feel exhausted at the end of the working day? 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.
FI
DE
NO
NL
EL
LV
CZ
LT
RO
DK
SE
CY
HU
AT
EE
SK
PT
BE
EU28
IT
HR
CH
UK
BG
PL
AL
IE
MT
ME
LU
ES
FR
RS
SI
TR
MK
2015
FI
4.4
DE
6.2
NO
6.3
NL
7.3
EL
7.6
LV
7.6
CZ
7.8
LT
7.8
RO
8.6
DK
9.3
SE
9.3
CY
9.4
HU
9.7
AT
10.3
EE
10.4
SK
11.2
PT
11.5
BE
11.9
EU28
11.9
IT
12.5
HR
12.6
CH
13
UK
13.1
BG
13.6
PL
14.1
AL
14.4
IE
14.8
MT
16.7
ME
17.4
LU
18.2
ES
18.3
FR
18.5
RS
19.5
SI
20.3
TR
30.8
MK
32.5

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