EIGE

How many hours would you prefer your partner to work? (mean hours, 15+ workers) ta_pubopn_geneq__ewcs_partnertimeprefer_mean

Time format:
Years
Unit:
Mean hours (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 Q98 from the 2015 EWCS survey in the EWCS Integrated Data File, 1991-2015: How many hours would your partner prefer to work? ___ hours.

The indicator is calculated as the mean number of hours out of all responses given by persons who answered the question (excluding those answering 'not applicable', 'don't know' or refusing to answer).

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.
SK
BG
LT
SI
ME
RO
CZ
MK
FI
RS
HU
EL
HR
PT
TR
CY
EE
PL
IT
NO
DK
SE
CH
ES
EU28
FR
MT
LV
BE
AT
DE
AL
IE
LU
UK
NL
2015
SK
39.5
BG
39
LT
38.6
SI
38.1
ME
37.7
RO
37.7
CZ
37.6
MK
37.6
FI
37.5
RS
37.4
HU
37.3
EL
37.2
HR
37
PT
37
TR
36.9
CY
36.2
EE
36.1
PL
36
IT
35.8
NO
35.5
DK
35.3
SE
35.3
CH
35.3
ES
34.9
EU28
34.6
FR
34.6
MT
34.6
LV
34.3
BE
34.2
AT
33.9
DE
33.7
AL
33.5
IE
33.1
LU
32.6
UK
32
NL
31.4

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