Time-related underemployment by sex and age -- ILO modelled estimates, Nov. 2025

Historical data for Time-related underemployment by sex and age -- ILO modelled estimates, Nov. 2025 in Armenia. Latest reported period: 2027. Explore observations, units and frequency, or download CSV and JSON from ARMID.

Series identifier: A.AM.I3CDXHTEWB2DZ
Place: Armenia
Frequency: Annual
Unit: Not provided
Observation coverage: Jan 1, 2005 – Jan 1, 2027
Latest reported observation: —
Observation period: 2027
Last collected by ARMID: Oct 26, 2026

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Historical observations

Showing 23 of 23 observations, oldest first within this sample.

Time-related underemployment by sex and age -- ILO modelled estimates, Nov. 2025
Observation period	Value	Breakdown / dimensions	Additional measurements	Coordinates (longitude, latitude)
2005	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 12.591; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 22.274; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 34.864; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 95.755; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 92.638; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 188.393; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 83.164; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 70.364; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 153.529	45, 40.25
2006	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 12.564; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 22.427; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 34.992; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 95.133; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 93.493; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 188.626; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 82.569; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 71.065; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 153.634	45, 40.25
2007	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 12.435; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 22.422; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 34.857; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 94.562; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 94.415; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 188.976; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 82.127; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 71.993; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 154.12	45, 40.25
2008	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 14.729; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 27.881; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 42.61; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 112.314; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 100.854; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 213.168; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 97.584; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 72.973; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 170.558	45, 40.25
2009	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 15.785; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 29.508; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 45.293; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 118.861; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 107.966; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 226.828; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 103.076; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 78.458; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 181.534	45, 40.25
2010	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 14.948; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 27.014; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 41.962; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 120.698; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 106.141; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 226.839; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 105.75; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 79.127; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 184.877	45, 40.25
2011	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 13.51; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 26.111; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 39.621; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 117.422; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 105.623; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 223.045; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 103.912; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 79.512; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 183.424	45, 40.25
2012	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 11.94; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 23.641; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 35.581; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 113.056; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 103.331; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 216.387; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 101.115; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 79.69; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 180.806	45, 40.25
2013	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 11.167; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 22.657; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 33.824; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 112.435; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 99.861; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 212.296; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 101.268; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 77.204; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 178.472	45, 40.25
2014	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 10.466; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 21.431; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 31.896; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 113.589; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 101.511; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 215.1; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 103.123; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 80.08; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 183.203	45, 40.25
2015	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 11.989; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 20.6; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 32.589; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 96.753; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 96.582; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 193.335; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 84.764; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 75.982; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 160.746	45, 40.25
2016	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 8.003; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 16.719; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 24.722; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 77.498; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 78.72; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 156.218; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 69.495; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 62; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 131.496	45, 40.25
2017	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.933; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.816; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 14.749; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 75.923; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 70.15; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 146.072; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 70.99; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 60.334; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 131.323	45, 40.25
2018	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.567; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.176; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.743; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 77.192; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 69.706; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 146.898; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 72.626; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 60.53; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 133.156	45, 40.25
2019	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.031; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 8.609; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 12.64; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 71.644; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 67.186; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 138.83; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 67.613; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 58.577; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 126.19	45, 40.25
2020	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.089; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.015; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.105; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 78.119; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 74.364; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 152.483; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 74.03; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 65.349; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 139.379	45, 40.25
2021	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.414; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 8.188; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 12.602; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 74.812; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 68.644; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 143.457; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 70.398; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 60.456; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 130.854	45, 40.25
2022	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.184; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 7.907; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 12.092; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 66.169; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 67.266; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 133.435; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 61.985; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 59.359; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 121.344	45, 40.25
2023	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.185; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 8.948; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.133; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 69.05; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 69.925; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 138.975; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 64.864; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 60.977; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 125.842	45, 40.25
2024	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.362; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.263; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.625; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 70.043; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 70.709; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 140.752; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 65.681; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 61.446; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 127.127	45, 40.25
2025	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.218; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.257; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.475; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 69.987; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 69.078; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 139.065; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 65.769; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 59.821; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 125.59	45, 40.25
2026	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 4.082; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.336; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.417; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 70.009; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 67.363; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 137.373; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 65.928; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 58.028; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 123.956	45, 40.25
2027	—	—	AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_F: 3.985; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_M: 9.433; AGE_YTHADULT_Y15-24\|EMP_2TRU_NB\|SEX_T: 13.419; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_F: 69.858; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_M: 65.903; AGE_YTHADULT_YGE15\|EMP_2TRU_NB\|SEX_T: 135.761; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_F: 65.873; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_M: 56.469; AGE_YTHADULT_YGE25\|EMP_2TRU_NB\|SEX_T: 122.342	45, 40.25

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Cite this time series

Armenia In Data (ARMID), Ridgital. Time-related underemployment by sex and age -- ILO modelled estimates, Nov. 2025. A.AM.I3CDXHTEWB2DZ. 2027. https://ridgital.com/armenia-in-data/data/series/A.AM.I3CDXHTEWB2DZ

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