Unemployment by sex and age -- ILO modelled estimates, Nov. 2025
Unemployment by sex and age -- ILO modelled estimates, Nov. 2025 ցուցանիշի պատմական տվյալները՝ Armenia։ Վերջին գրանցված ժամանակաշրջանը՝ 2027։ Դիտեք դիտարկումները, միավորներն ու հաճախականությունը կամ ներբեռնեք CSV և JSON ARMID-ից։
- Շարքի նույնացուցիչ
- A.AM.IVRK2R5JUZWXZ
- Վայր
- Armenia
- Հաճախականություն
- Տարեկան
- Չափման միավոր
- Տրամադրված չէ
- Դիտարկումների ընդգրկում
- 01 հնվ, 1991 թ. – 01 հնվ, 2027 թ.
- Վերջին գրանցված դիտարկում
- —
- Դիտարկման ժամանակաշրջան
- 2027
- ARMID-ի վերջին հավաքումը
- 05 նոյ, 2026 թ.
Մեկ հարցմամբ ներբեռնվում է մինչև 200,000 դիտարկում։ API-ն հայտնում է վերադարձված և ընդհանուր քանակները և արդյոք պատասխանը կրճատվել է։ Ավելի մեծ պատմության համար սահմանեք ամսաթվերի միջակայք։
Պատմական դիտարկումներ
Ցուցադրված է 37 դիտարկումներից 37-ը՝ նմուշի ներսում հնից նոր դասավորությամբ։
| Դիտարկման ժամանակաշրջան | Արժեք | Կտրվածք / չափումներ | Լրացուցիչ չափումներ | Կոորդինատներ (երկայնություն, լայնություն) |
|---|---|---|---|---|
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 2,854; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 2,398; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 5,252; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 18,081; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 11,287; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 29,368; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 15,227; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 8,889; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 24,116 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 2,718; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 2,306; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 5,024; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 17,935; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 11,155; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 29,091; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 15,217; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 8,85; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 24,067 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 7,674; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 5,73; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 13,404; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 52,791; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 28,5; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 81,29; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 45,117; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 22,77; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 67,887 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 8,451; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 7,683; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 16,134; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 58,822; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 38,563; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 97,385; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 50,371; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 30,88; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 81,251 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 9,967; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 5,706; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 15,673; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 68,247; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 28,309; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 96,555; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 58,28; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 22,602; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 80,882 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 14,776; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 7,136; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 21,912; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 98,225; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 34,434; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 132,659; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 83,449; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 27,298; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 110,747 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 17,432; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 8,6; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 26,032; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 112,395; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 40,189; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 152,585; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 94,963; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 31,589; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 126,552 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 14,571; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 9,441; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 24,013; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 90,113; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 42,593; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 132,707; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 75,542; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 33,152; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 108,694 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 17,187; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 13,101; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 30,289; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 102,05; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 57,269; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 159,319; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 84,863; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 44,168; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 129,031 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 17,082; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 13,904; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 30,986; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 99,27; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 59,799; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 159,07; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 82,188; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 45,895; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 128,083 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 16,709; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 14,65; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 31,359; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 95,75; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 62,201; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 157,95; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 79,041; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 47,551; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 126,591 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 16,245; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 15,48; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 31,725; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 91,516; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 64,517; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 156,033; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 75,271; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 49,037; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 124,308 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 15,741; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 16,317; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 32,058; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 87,475; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 67; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 154,476; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 71,734; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 50,684; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 122,418 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 15,182; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 17,129; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 32,311; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 83,651; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 69,649; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 153,3; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 68,469; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 52,52; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 120,989 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 14,569; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 17,911; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 32,479; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 79,908; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 72,393; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 152,301; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 65,339; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 54,482; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 119,822 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 13,892; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 18,644; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 32,537; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 76,268; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 75,27; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 151,539; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 62,376; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 56,626; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 119,002 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 13,096; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 19,231; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 32,326; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 72,537; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 78,084; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 150,621; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 59,441; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 58,854; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 118,295 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 47,966; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 44,158; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 92,124; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 134,562; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 111,972; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 246,534; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 86,596; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 67,814; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 154,41 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 54,216; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 50,233; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 104,449; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 146,724; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 137,166; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 283,89; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 92,508; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 86,933; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 179,441 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 52,152; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 41,858; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 94,01; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 154,445; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 131,656; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 286,101; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 102,293; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 89,798; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 192,091 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 46,491; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 43,177; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 89,668; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 144,02; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 131,16; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 275,179; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 97,529; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 87,982; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 185,511 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 38,641; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 36,686; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 75,327; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 131,38; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 122,309; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 253,689; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 92,739; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 85,623; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 178,362 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 37,462; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 35,054; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 72,517; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 132,003; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 107,529; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 239,532; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 94,541; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 72,474; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 167,015 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 37,781; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 32,655; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 70,436; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 136,169; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 115,895; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 252,064; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 98,388; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 83,24; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 181,628 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 28,938; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 28,366; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 57,303; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 134,414; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 127,822; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 262,236; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 105,476; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 99,457; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 204,933 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 32,094; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 27,806; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 59,899; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 122,022; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 130,532; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 252,554; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 89,929; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 102,726; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 192,655 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 29,176; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 28,889; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 58,065; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 121,276; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 130,973; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 252,25; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 92,1; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 102,085; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 194,185 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 24,233; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 24,406; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 48,639; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 139,919; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 129,333; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 269,252; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 115,686; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 104,927; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 220,613 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 18,824; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 24,779; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 43,604; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 125,362; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 123,552; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 248,914; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 106,538; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 98,773; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 205,311 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 17,675; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 24,513; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 42,187; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 119,14; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 137,808; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 256,949; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 101,465; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 113,296; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 214,761 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 18,863; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 20,945; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 39,808; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 106,279; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 113,626; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 219,906; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 87,416; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 92,681; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 180,097 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 16,425; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 17,554; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 33,979; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 88,068; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 94,581; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 182,648; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 71,643; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 77,027; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 148,669 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 17,018; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 19,708; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 36,726; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 88,191; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 88,029; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 176,22; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 71,173; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 68,321; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 139,494 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 17,626; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 20,339; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 37,964; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 89,427; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 89,086; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 178,513; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 71,801; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 68,748; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 140,549 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 16,921; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 20,054; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 36,975; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 92,2; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 90,632; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 182,831; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 75,279; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 70,578; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 145,856 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 16,15; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 20,041; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 36,191; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 95,344; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 91,238; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 186,582; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 79,194; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 71,197; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 150,392 | 45, 40,25 | |
| — | — | AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_F: 15,521; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_M: 19,389; AGE_YTHADULT_Y15-24|UNE_2UNE_NB|SEX_T: 34,91; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_F: 97,817; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_M: 91,395; AGE_YTHADULT_YGE15|UNE_2UNE_NB|SEX_T: 189,212; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_F: 82,296; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_M: 72,006; AGE_YTHADULT_YGE25|UNE_2UNE_NB|SEX_T: 154,302 | 45, 40,25 |
Գծիկը նշանակում է, որ դաշտի համար թվային կամ տեքստային արժեք տրամադրված չէ։ Լրացուցիչ չափումներն ու կտրվածքները ցուցադրվում են առանձին։ Տողերն ինքնաբերաբար չեն գումարվում։
Հղում կատարել այս ժամանակային շարքին
Armenia In Data (ARMID), Ridgital. Unemployment by sex and age -- ILO modelled estimates, Nov. 2025. A.AM.IVRK2R5JUZWXZ. 2027. https://ridgital.com/hy/armenia-in-data/data/series/A.AM.IVRK2R5JUZWXZ
Այս էջը ներկայացնում է ARMID-ի հրապարակված մետատվյալները։ Այն չի ենթադրում սկզբնական մատակարար կամ հրապարակման ամսաթիվ, որը API-ն չի տրամադրում։
Տվյալների հարակից կատեգորիաներ
Կատալոգը և REST/SDMX API-ները հանրային են՝ առանց հաշվի կամ բանալիի։ Հետազոտություններ ստեղծելու և աշխատանքային գրքեր գործարկելու համար հայցեք ARMID Lab-ի հասանելիություն։ Հայցել Lab-ի հասանելիություն →