Employment outside the formal sector by sex, public/private sector and rural/urban areas
Historical data for Employment outside the formal sector by sex, public/private sector 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.IWSSBZKIUUHHU
- Place
- Armenia
- Frequency
- Annual
- Unit
- Not provided
- Observation coverage
- Jan 1, 2008 – Jan 1, 2017
- Latest reported observation
- —
- Observation period
- 2017
- Last collected by ARMID
- Nov 5, 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 5 of 5 observations, oldest first within this sample.
| Observation period | Value | Breakdown / dimensions | Additional measurements | Coordinates (longitude, latitude) |
|---|---|---|---|---|
| — | — | GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 224.547; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 287.699; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 512.246; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 224.547; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 287.699; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 512.246; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 161.36; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 170.015; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 331.374; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 161.36; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 170.015; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 331.374; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 63.188; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 117.684; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 180.872; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 63.188; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 117.684; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 180.872 | 45, 40.25 | |
| — | — | GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 359.659; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 418.104; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 777.764; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 359.659; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 418.104; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 777.764; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 195.324; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 211.732; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 407.056; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 195.324; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 211.732; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 407.056; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 164.336; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 206.372; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 370.708; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 164.336; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 206.372; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 370.708 | 45, 40.25 | |
| — | — | GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 328.632; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 397.727; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 726.359; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 328.632; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 397.727; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 726.359; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 208.203; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 207.508; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 415.711; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 208.203; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 207.508; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 415.711; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 120.43; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 190.219; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 310.648; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 120.43; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 190.219; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 310.648 | 45, 40.25 | |
| — | — | GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 299.862; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 366.914; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 666.776; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 299.862; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 366.914; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 666.776; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 187.009; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 200.451; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 387.46; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 187.009; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 200.451; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 387.46; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 112.853; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 166.463; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 279.316; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 112.853; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 166.463; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 279.316 | 45, 40.25 | |
| — | — | GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 303.954; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 358.832; GEO_COV_NAT|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 662.786; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 303.954; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 358.832; GEO_COV_NAT|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 662.786; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 177.879; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 199.042; GEO_COV_RUR|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 376.921; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 177.879; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 199.042; GEO_COV_RUR|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 376.921; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_F: 126.076; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_M: 159.789; GEO_COV_URB|INS_SECTOR_PRI|EMP_PIFL_NB|SEX_T: 285.865; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_F: 126.076; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_M: 159.789; GEO_COV_URB|INS_SECTOR_TOTAL|EMP_PIFL_NB|SEX_T: 285.865 | 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. Employment outside the formal sector by sex, public/private sector and rural/urban areas. A.AM.IWSSBZKIUUHHU. 2017. https://ridgital.com/armenia-in-data/data/series/A.AM.IWSSBZKIUUHHU
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