Distribution (%) of platform workers by the total personal monthly income after taxes, by household type eige_pw_income__pws_wc_mnthly_inc_hh

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

This indicator shows the total personal monthly income after taxes of platform workers.

The indicator is based on responses to the question: In the past 6 months, what was your average personal monthly income after taxes? The answer categories shown to respondents were based on specific income ranges in the local currency which have been tailored to the national context (constructed from Eurostat's income distribution data from EU-SILC and ECHP surveys). Respondents were instructed to consider all the sources of income. The indicator shows the following national income distribution:

  • Below first poorest income decile (< 10 %)
  • Between first income decile and first quartile (10 – 25 %)
  • Between first and second income quartiles (25 – 50 %)
  • Between second and third income quartiles (50 – 75 %)
  • Between third quartile and ninth income decile (75 – 90 %)
  • Above ninth income decile in their country (> 90 %)
  • I prefer not to answer

Responses were then aggregated into four categories: First quartile (0-25%); Second quartile (25-50%); Third quartile (50-75%); Fourth quartile (75-100%).

This indicator is disaggregated by household type. Household types include women and men who are: single without children; lone parents / single cohabiting with children; in a couple without children; in a couple cohabitating with children; other.

More information on the methodological aspects of EIGE’s survey of platform workers can be obtained in the technical report.

Keywords:
income, work
DK
ES
FR
LV
NL
PL
RO
SI
SK
FI
2021
2021
DK
23.7(y)
ES
27.3
FR
52.7
LV
42
NL
27.2
PL
14.9
RO
22.9
SI
40.6
SK
28.3
FI
27.8

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