NEET rate: Share of youth not in employment, education or training by sex and age
Historical data for NEET rate: Share of youth not in employment, education or training by sex and age in Armenia. Latest reported period: 2023. Explore observations, units and frequency, or download CSV and JSON from ARMID.
- Series identifier
- A.AM.IXTH4H5ROWQIX
- 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
- Oct 26, 2026
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 18 of 18 observations, oldest first within this sample.
| Observation period | Value | Breakdown / dimensions | Additional measurements | Coordinates (longitude, latitude) |
|---|---|---|---|---|
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 28.762; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 25.246; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 26.982; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 41.849; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 33.968; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 37.889; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 57.467; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 44.728; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 51.124 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 25.907; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 23.334; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 24.769; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 44.868; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 31.125; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 38.668; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 64.204; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 38.536; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 52.406 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 23.076; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 25.596; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 24.104; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 41.942; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 33.281; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 38.141; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 62.284; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 39.743; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 51.715 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 24.022; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 24.376; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 24.171; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 42.101; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 34.122; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 38.544; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 60.819; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 42.368; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 52.147 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 25.736; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 21.544; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 23.865; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 45.271; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 29.481; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 38.292; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 61.688; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 36.367; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 50.588 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 22.682; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 21.298; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 22.062; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 43.364; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 29.988; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 37.223; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 60.04; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 36.454; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 49.005 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 18.032; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 17.539; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 17.818; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 40.85; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 27.156; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 34.62; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 59.66; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 33.97; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 47.554 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 19.833; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 17.68; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 18.821; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 41.611; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 27.23; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 34.889; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 57.122; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 34.155; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 46.43 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 18.647; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 35.844; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 27.134; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 38.494; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 37.522; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 38.032; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 53.568; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 38.978; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 46.854 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 16.608; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 35.129; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 26.222; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 34.797; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 36.35; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 35.56; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 48.406; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 37.473; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 43.291 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 17.675; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 36.926; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 28.33; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 37.83; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 35.393; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 36.584; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 52.735; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 33.842; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 43.756 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 20.205; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 34.477; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 28.316; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 37.528; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 35.722; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 36.586; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 50.129; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 37.008; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 43.816 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 15.594; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 10.512; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 13.375; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 29.647; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 18.689; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 24.746; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 43.61; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 26.156; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 35.626 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 11.862; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 15.551; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 13.49; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 29.165; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 21.206; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 25.461; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 44.484; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 25.403; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 35.23 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 17.648; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 12.692; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 15.32; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 30.601; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 21.117; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 25.984; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 43.166; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 28.294; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 35.696 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 11.212; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 13.539; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 12.331; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 25.142; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 18.16; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 21.892; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 39.917; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 23.762; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 32.681 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 15.49; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 14.52; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 15.023; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 27.731; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 20.974; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 24.533; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 40.261; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 28.043; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 34.585 | 45, 40.25 | |
| — | — | AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_F: 11.807; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_M: 12.543; AGE_YTHBANDS_Y15-19|EIP_NEET_RT|SEX_T: 12.155; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_F: 23.02; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_M: 16.985; AGE_YTHBANDS_Y15-24|EIP_NEET_RT|SEX_T: 20.177; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_F: 34.235; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_M: 21.491; AGE_YTHBANDS_Y20-24|EIP_NEET_RT|SEX_T: 28.253 | 45, 40.25 |
A dash means no numeric or text value is supplied for that field. Metrics and breakdowns are shown separately; rows are not automatically summed.
Cite this time series
Armenia In Data (ARMID), Ridgital. NEET rate: Share of youth not in employment, education or training by sex and age. A.AM.IXTH4H5ROWQIX. 2023. https://ridgital.com/armenia-in-data/data/series/A.AM.IXTH4H5ROWQIX
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