Unemployment by sex and rural / urban areas

Historical data for Unemployment by sex and rural / urban areas in Armenia. Latest reported period: 2023. Explore observations, units and frequency, or download CSV and JSON from ARMID.

Series identifier: A.AM.IHZOF6ZTKUAYL
Place: Armenia
Frequency: Annual
Unit: Not provided
Observation coverage: Jan 1, 2001 – Jan 1, 2023
Latest reported observation: —
Observation period: 2023
Last collected by ARMID: Nov 5, 2026

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Historical observations

Showing 18 of 18 observations, oldest first within this sample.

Unemployment by sex and rural / urban areas
Observation period	Value	Breakdown / dimensions	Additional measurements	Coordinates (longitude, latitude)
2001	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 308.14; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 273.24; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 581.38; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 54.01; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 48.74; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 102.75; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 254.13; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 224.5; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 478.63	45, 40.25
2007	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 57.785; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 71.469; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 129.253; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 5.774; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 10.86; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 16.634; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 52.01; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 60.609; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 112.619	45, 40.25
2008	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 157.184; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 143.408; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 300.592; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 41.952; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 30.08; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 72.031; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 115.232; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 113.329; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 228.561	45, 40.25
2009	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 131.091; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 129.478; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 260.57; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 18.367; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 18.124; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 36.49; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 112.725; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 111.355; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 224.079	45, 40.25
2010	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 145.688; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 132.463; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 278.152; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 18.035; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 18.144; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 36.179; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 127.653; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 114.32; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 241.973	45, 40.25
2011	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 137.561; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 127.345; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 264.907; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 16.241; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 16.643; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 32.884; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 121.321; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 110.702; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 232.022	45, 40.25
2012	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 126.086; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 118.842; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 244.928; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 12.562; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 17.941; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 30.502; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 113.524; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 100.901; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 214.425	45, 40.25
2013	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 122.692; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 101.621; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 224.313; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 14.439; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 19.859; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 34.298; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 108.254; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 81.762; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 190.015	45, 40.25
2014	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 130.815; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 109.608; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 240.423; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 22.316; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 14.394; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 36.71; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 108.498; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 95.214; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 203.712	45, 40.25
2015	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 121.49; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 118.145; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 239.635; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 18.088; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 17.813; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 35.901; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 103.402; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 100.332; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 203.735	45, 40.25
2016	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 101.297; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 113.864; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 215.161; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 13.019; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 15.099; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 28.119; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 88.278; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 98.765; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 187.043	45, 40.25
2017	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 102.06; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 115.596; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 217.656; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 16.183; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 21.535; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 37.719; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 85.877; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 94.061; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 179.937	45, 40.25
2018	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 89.801; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 51.367; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 141.168; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 58.522; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 32.537; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 91.058; GEO_COV_X\|UNE_TUNE_NB\|SEX_F: 31.279; GEO_COV_X\|UNE_TUNE_NB\|SEX_M: 18.83; GEO_COV_X\|UNE_TUNE_NB\|SEX_T: 50.109	45, 40.25
2019	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 71.415; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 53.629; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 125.044; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 16.677; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 11.408; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 28.085; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 54.738; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 42.221; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 96.959	45, 40.25
2020	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 56.796; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 51.532; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 108.329; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 16.727; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 14.544; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 31.271; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 40.069; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 36.989; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 77.058	45, 40.25
2021	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 60.214; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 48.115; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 108.329; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 15.759; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 15.925; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 31.683; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 44.456; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 32.19; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 76.646	45, 40.25
2022	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 59.2; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 46.602; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 105.802; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 14.804; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 10.49; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 25.294; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 44.396; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 36.112; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 80.508	45, 40.25
2023	—	—	GEO_COV_NAT\|UNE_TUNE_NB\|SEX_F: 60.988; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_M: 49.422; GEO_COV_NAT\|UNE_TUNE_NB\|SEX_T: 110.41; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_F: 12.192; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_M: 11.346; GEO_COV_RUR\|UNE_TUNE_NB\|SEX_T: 23.538; GEO_COV_URB\|UNE_TUNE_NB\|SEX_F: 48.796; GEO_COV_URB\|UNE_TUNE_NB\|SEX_M: 38.076; GEO_COV_URB\|UNE_TUNE_NB\|SEX_T: 86.872	45, 40.25

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Cite this time series

Armenia In Data (ARMID), Ridgital. Unemployment by sex and rural / urban areas. A.AM.IHZOF6ZTKUAYL. 2023. https://ridgital.com/armenia-in-data/data/series/A.AM.IHZOF6ZTKUAYL

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Employment & Unemployment

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