Time-related underemployment rate by sex, rural / urban area and marital status

Historical data for Time-related underemployment rate by sex, rural / urban area and marital status in Armenia. Latest reported period: 2017. Explore observations, units and frequency, or download CSV and JSON from ARMID.

Series identifier: A.AM.I4QWTKKCAT3AV
Place: Armenia
Frequency: Annual
Unit: Not provided
Observation coverage: Jan 1, 2014 – Jan 1, 2017
Latest reported observation: —
Observation period: 2017
Last collected by ARMID: Nov 5, 2026

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Historical observations

Showing 4 of 4 observations, oldest first within this sample.

Time-related underemployment rate by sex, rural / urban area and marital status
Observation period	Value	Breakdown / dimensions	Additional measurements	Coordinates (longitude, latitude)
2014	—	—	GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 17.145; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 22.148; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 19.212; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 21.618; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 14.573; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 17.654; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 20.057; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 16.29; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 18.098; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 22.838; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 34.693; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 28.673; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 27.431; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 22.374; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 24.823; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 26.207; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 25.434; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 25.813; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 14.068; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 10.416; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 12.757; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 15.378; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 8.722; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 11.359; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 14.829; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 9.077; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 11.79	45, 40.25
2015	—	—	GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 17.023; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 21.034; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 18.746; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 17.183; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 14.323; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 15.578; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 17.129; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 15.873; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 16.471; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 30.599; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 34.71; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 32.469; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 22.513; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 22.401; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 22.455; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 24.683; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 25.181; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 24.931; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 7.927; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 10.09; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 8.817; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 10.448; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 7.51; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 8.653; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 9.417; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 8.117; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 8.704	45, 40.25
2016	—	—	GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 12.459; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 18.414; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 15.112; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 13.933; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 11.404; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 12.531; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 13.469; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 13.009; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 13.228; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 20.522; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 31.794; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 26.176; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 17.272; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 18.127; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 17.713; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 18.037; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 21.205; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 19.661; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 7.729; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 6.87; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 7.38; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 9.815; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 5.362; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 7.17; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 8.995; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 5.712; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 7.234	45, 40.25
2017	—	—	GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 11.096; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 14.775; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 12.662; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 14.34; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 10.841; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 12.381; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 13.28; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 11.707; GEO_COV_NAT\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 12.457; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 20.585; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 24.402; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 22.551; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 20.468; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 18.001; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 19.178; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 20.496; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 19.496; GEO_COV_RUR\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 19.975; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_F: 5.983; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_M: 5.069; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_1\|SEX_T: 5.652; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_F: 7.149; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_M: 4.618; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_2\|SEX_T: 5.639; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_F: 6.675; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_M: 4.712; GEO_COV_URB\|EMP_XTRU_RT\|MTS_AGGREGATE_TOTAL\|SEX_T: 5.643	45, 40.25

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Cite this time series

Armenia In Data (ARMID), Ridgital. Time-related underemployment rate by sex, rural / urban area and marital status. A.AM.I4QWTKKCAT3AV. 2017. https://ridgital.com/armenia-in-data/data/series/A.AM.I4QWTKKCAT3AV

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Related data categories

Employment & Unemployment

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