NEET rate: Share of youth not in employment, education or training by sex and rural / urban areas

Historical data for NEET rate: Share of youth not in employment, education or training 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.IFEY4FUAECXRN
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.

NEET rate: Share of youth not in employment, education or training by sex and rural / urban areas
Observation period	Value	Breakdown / dimensions	Additional measurements	Coordinates (longitude, latitude)
2001	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 41.849; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 33.968; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 37.889; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 34.401; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 26.009; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 30.008; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 45.537; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 38.45; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 42.055	45, 40.25
2007	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 44.868; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 31.125; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 38.668; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 49.17; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 31.245; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 40.418; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 42.66; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 31.047; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 37.668	45, 40.25
2008	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 41.942; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 33.281; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 38.141; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 45.969; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 31.764; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 39.504; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 39.641; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 34.243; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 37.325	45, 40.25
2009	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 42.101; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 34.122; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 38.544; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 46.579; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 33.939; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 40.686; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 39.781; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 34.23; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 37.369	45, 40.25
2010	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 45.271; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 29.481; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 38.292; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 47.171; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 26.929; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 37.943; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 44.2; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 31.053; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 38.497	45, 40.25
2011	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 43.364; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 29.988; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 37.223; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 46.934; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 28.125; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 38.266; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 41.205; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 31.129; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 36.589	45, 40.25
2012	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 40.85; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 27.156; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 34.62; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 42.835; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 20.487; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 32.514; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 39.654; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 31.357; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 35.914	45, 40.25
2013	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 41.611; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 27.23; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 34.889; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 43.63; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 24.19; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 34.267; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 40.218; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 29.543; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 35.338	45, 40.25
2014	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 38.494; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 37.522; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 38.032; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 42.725; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 34.01; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 38.405; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 35.634; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 40.259; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 37.762	45, 40.25
2015	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 34.797; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 36.35; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 35.56; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 38.331; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 36.355; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 37.3; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 32.403; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 36.346; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 34.248	45, 40.25
2016	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 37.83; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 35.393; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 36.584; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 39.821; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 35.174; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 37.394; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 36.399; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 35.563; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 35.978	45, 40.25
2017	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 37.528; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 35.722; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 36.586; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 42; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 34.914; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 38.189; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 34.148; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 36.407; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 35.298	45, 40.25
2018	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 29.647; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 18.689; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 24.746; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 32.617; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 19.496; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 26.541; GEO_COV_X\|EIP_NEET_RT\|SEX_F: 24.213; GEO_COV_X\|EIP_NEET_RT\|SEX_M: 16.901; GEO_COV_X\|EIP_NEET_RT\|SEX_T: 21.173	45, 40.25
2019	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 29.165; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 21.206; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 25.461; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 35.323; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 20.71; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 28.558; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 24.821; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 21.55; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 23.293	45, 40.25
2020	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 30.601; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 21.117; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 25.984; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 37.565; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 19.853; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 28.538; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 25.115; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 22.298; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 23.799	45, 40.25
2021	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 25.058; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 18.16; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 21.847; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 34.818; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 17.949; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 26.3; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 18.032; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 18.363; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 18.175	45, 40.25
2022	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 27.731; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 20.974; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 24.533; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 34.907; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 21.97; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 28.507; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 22.819; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 20.183; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 21.613	45, 40.25
2023	—	—	GEO_COV_NAT\|EIP_NEET_RT\|SEX_F: 22.952; GEO_COV_NAT\|EIP_NEET_RT\|SEX_M: 16.985; GEO_COV_NAT\|EIP_NEET_RT\|SEX_T: 20.141; GEO_COV_RUR\|EIP_NEET_RT\|SEX_F: 29.51; GEO_COV_RUR\|EIP_NEET_RT\|SEX_M: 17.633; GEO_COV_RUR\|EIP_NEET_RT\|SEX_T: 23.741; GEO_COV_URB\|EIP_NEET_RT\|SEX_F: 18.187; GEO_COV_URB\|EIP_NEET_RT\|SEX_M: 16.463; GEO_COV_URB\|EIP_NEET_RT\|SEX_T: 17.394	45, 40.25

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Cite this time series

Armenia In Data (ARMID), Ridgital. NEET rate: Share of youth not in employment, education or training by sex and rural / urban areas. A.AM.IFEY4FUAECXRN. 2023. https://ridgital.com/armenia-in-data/data/series/A.AM.IFEY4FUAECXRN

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Employment & Unemployment

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