IndicatorShare of employed in involuntary part-time employment, by sex and age groupInformation on item
Age Group
UnitPercentage
Time1990199520002005201020112012201320142015201620172018
CountrySex
AustraliaMen2.24.14.34.85.45.05.25.66.26.46.66.76.4
Women6.69.38.89.910.210.210.410.811.511.811.511.912.0
AustriaMen..0.40.91.01.41.21.11.51.61.82.02.01.6
Women..1.93.04.24.43.94.14.84.75.15.35.04.2
BelgiumMen0.71.01.71.51.31.51.21.21.31.41.31.31.1
Women7.48.08.46.24.43.83.63.63.73.63.22.62.3
CanadaMen1.93.52.82.93.73.63.33.53.63.43.53.32.9
Women5.48.96.66.77.37.07.17.07.16.76.26.15.4
ColombiaMen......6.35.65.35.95.74.74.64.64.54.5
Women......12.811.911.512.211.510.210.110.09.49.1
Czech RepublicMen..0.40.30.40.70.50.60.60.60.60.40.30.2
Women..2.32.91.82.01.92.02.52.11.71.61.40.8
DenmarkMen0.81.51.11.82.22.02.12.32.12.12.02.01.6
Women5.06.45.15.75.96.36.96.96.45.85.85.44.7
EstoniaMen......0.81.31.21.21.10.70.90.80.50.3
Women......1.93.23.02.82.62.01.81.41.00.9
FinlandMen..2.91.51.51.81.91.71.82.02.52.62.42.4
Women..7.15.74.95.04.94.75.15.55.66.16.16.1
FranceMen..2.72.31.72.02.12.22.63.23.53.63.83.4
Women..10.57.38.69.08.68.611.411.712.112.512.311.3
GermanyInformation on itemMen0.20.50.82.42.92.12.02.11.91.91.71.71.5
Women1.43.24.27.88.26.36.06.25.75.54.74.54.0
GreeceMen0.91.31.21.22.32.83.23.74.75.15.14.84.5
Women1.72.63.24.35.05.47.18.18.68.59.29.18.5
HungaryMen..0.70.40.61.51.91.91.91.91.71.10.90.8
Women..1.71.21.22.63.33.73.73.22.51.91.51.2
IcelandMen..0.90.8..2.52.22.31.91.91.21.21.31.8
Women..4.73.8..7.48.06.95.77.36.25.35.06.1
IrelandMen1.83.22.2..5.16.27.07.57.06.25.94.3..
Women3.45.23.4..8.310.111.111.510.99.78.35.7..
IsraelInformation on itemMen..0.91.62.51.81.81.71.61.61.51.31.31.0
Women..5.56.19.26.15.84.74.94.84.23.73.52.2
ItalyMen1.11.31.82.33.33.74.85.66.26.46.56.46.3
Women3.24.25.49.013.314.616.618.419.319.419.118.319.5
JapanMen......2.74.13.63.03.02.72.72.51.92.2
Women......7.59.28.78.27.77.67.27.06.76.8
LatviaMen......2.83.63.03.12.31.91.52.31.31.9
Women......3.24.24.34.73.83.23.33.84.02.7
LithuaniaMen......2.52.52.72.32.12.11.51.81.81.4
Women......4.33.63.43.53.43.33.42.83.02.2
LuxembourgMen0.00.20.20.30.20.60.60.50.60.80.60.40.7
Women1.31.41.73.72.73.14.74.24.74.74.55.04.0
NetherlandsMen2.11.90.91.21.51.92.62.73.12.93.02.72.2
Women11.93.92.22.73.64.65.55.96.45.75.64.44.1
New ZealandMen2.43.23.42.03.02.92.82.82.82.63.23.23.2
Women7.28.48.95.56.26.36.87.07.06.57.68.07.8
NorwayMen1.41.70.81.40.80.70.90.80.70.81.00.80.8
Women5.87.12.63.71.92.01.81.91.81.81.91.61.8
PolandMen......2.21.11.11.21.31.41.30.90.80.6
Women......4.12.32.62.93.23.33.02.42.11.5
PortugalMen0.60.71.01.01.82.63.33.43.12.92.82.6..
Women2.43.04.34.45.26.57.17.26.66.76.35.7..
Slovak RepublicMen..0.30.20.41.92.02.02.32.83.03.12.51.7
Women..1.91.31.83.23.33.43.73.95.14.84.22.8
SloveniaMen......0.30.40.40.40.60.60.70.60.50.2
Women......0.91.11.01.01.41.41.92.01.71.1
SpainMen0.40.50.61.42.84.14.85.75.65.55.15.34.2
Women3.13.53.87.611.312.714.315.815.915.314.714.013.2
SwedenMen0.82.21.72.12.12.12.32.42.42.11.81.71.5
Women3.98.55.34.44.44.24.34.34.13.52.92.82.5
SwitzerlandMen..0.50.80.91.21.01.31.31.51.61.51.61.0
Women..2.81.93.43.64.03.93.94.24.34.54.73.3
TurkeyMen........0.80.70.70.80.90.91.11.21.3
Women........1.21.01.00.91.01.01.11.31.3
United KingdomMen0.82.01.81.63.43.84.14.03.73.53.02.72.7
Women2.24.73.22.64.75.65.75.95.55.24.74.33.9
United StatesMen....0.50.71.31.41.41.41.41.21.10.90.8
Women....0.91.22.12.22.22.32.21.91.61.31.3
OECD - AverageMen1.01.21.11.52.22.22.22.32.32.32.22.01.9
Women3.43.63.14.35.35.35.45.65.65.35.14.84.7
Non-OECD EconomiesRussiaMen..1.70.30.20.30.20.10.10.2........
Women..2.40.40.30.60.50.40.30.4........
Data extracted on 22 Sep 2020 12:09 UTC (GMT) from OECD.Stat

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