Youth time-related underemployment by sex, age and rural / urban areas

Historical data for Youth time-related underemployment by sex, age and rural / urban areas in Armenia. Latest reported period: 2017. Explore observations, units and frequency, or download CSV and JSON from ARMID.

Series identifier: A.AM.IIX7BCLC42QID
Place: Armenia
Frequency: Annual
Unit: Not provided
Observation coverage: Jan 1, 2012 – Jan 1, 2017
Latest reported observation: —
Observation period: 2017
Last collected by ARMID: Oct 26, 2026

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Downloads include up to 200,000 observations per request. The API reports returned and total counts and whether the result was truncated; use date ranges for larger histories.

Historical observations

Showing 5 of 5 observations, oldest first within this sample.

Youth time-related underemployment by sex, age and rural / urban areas
Observation period	Value	Breakdown / dimensions	Additional measurements	Coordinates (longitude, latitude)
2012	—	—	AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 17.701; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 10.932; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 28.633; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 3.19; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 2.907; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 6.097; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 14.512; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 8.024; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 22.536; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 8.553; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 4.402; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 12.955; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 2.358; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 1.469; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 3.827; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 6.195; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 2.933; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 9.129; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 8.87; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 6.053; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 14.923; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 0.779; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 0.962; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 1.741; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 8.091; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 5.091; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 13.182	45, 40.25
2014	—	—	AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 0.871; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 5; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 5.871; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 0.412; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 4.302; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 4.714; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 0.459; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 0.698; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 1.157; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 20.309; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 31.314; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 51.623; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 12.068; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 24.407; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 36.475; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 8.24; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 6.908; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 15.148; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 8.275; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 12.903; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 21.178; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 4.984; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 10.668; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 15.653; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 3.291; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 2.234; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 5.525; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 11.163; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 13.412; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 24.574; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 6.672; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 9.436; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 16.108; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 4.491; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 3.976; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 8.466	45, 40.25
2015	—	—	AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 3.887; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 5.367; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 9.254; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 3.762; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 3.833; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 7.595; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 1.535; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 1.659; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 20.246; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 30.184; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 50.43; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 16.263; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 23.092; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 39.356; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 3.982; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 7.092; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 11.074; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 7.351; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 12.409; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 19.759; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 5.536; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 9.704; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 15.24; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 1.814; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 2.704; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 4.519; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 9.008; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 12.408; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 21.417; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 6.965; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 9.555; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 16.521; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 2.043; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 2.853; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 4.896	45, 40.25
2016	—	—	AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 0.863; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 3.772; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 4.635; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 0.654; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 3.772; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 4.426; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 13.279; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 21.261; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 34.54; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 9.439; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 17.359; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 26.798; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 3.84; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 3.902; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 7.742; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 4.559; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 8.921; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 13.48; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 3.217; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 7.342; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 10.558; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 1.342; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 1.58; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 2.922; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 7.857; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 8.567; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 16.425; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 5.568; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 6.246; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 11.814; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 2.289; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 2.322; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 4.611	45, 40.25
2017	—	—	AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 0.767; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 2.319; AGE_YTHBANDS_Y15-19\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 3.086; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 0.5; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 2.046; AGE_YTHBANDS_Y15-19\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 2.546; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 0.274; AGE_YTHBANDS_Y15-19\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 0.54; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 9.41; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 16.588; AGE_YTHBANDS_Y15-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 25.997; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 6.774; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 13.925; AGE_YTHBANDS_Y15-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 20.699; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 2.636; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 2.663; AGE_YTHBANDS_Y15-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 5.298; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 3.362; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 4.915; AGE_YTHBANDS_Y20-24\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 8.277; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 2.306; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 4.26; AGE_YTHBANDS_Y20-24\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 6.566; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 1.056; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 0.655; AGE_YTHBANDS_Y20-24\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 1.71; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_F: 5.281; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_M: 9.354; AGE_YTHBANDS_Y25-29\|GEO_COV_NAT\|EMP_3TRU_NB\|SEX_T: 14.635; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_F: 3.968; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_M: 7.62; AGE_YTHBANDS_Y25-29\|GEO_COV_RUR\|EMP_3TRU_NB\|SEX_T: 11.587; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_F: 1.313; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_M: 1.734; AGE_YTHBANDS_Y25-29\|GEO_COV_URB\|EMP_3TRU_NB\|SEX_T: 3.048	45, 40.25

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Cite this time series

Armenia In Data (ARMID), Ridgital. Youth time-related underemployment by sex, age and rural / urban areas. A.AM.IIX7BCLC42QID. 2017. https://ridgital.com/armenia-in-data/data/series/A.AM.IIX7BCLC42QID

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