Number of deaths among adolescents (10 to 19 years of age)
Historical data for Number of deaths among adolescents (10 to 19 years of age) in Armenia. Latest reported period: 2024. Explore observations, units and frequency, or download CSV and JSON from ARMID.
- Series identifier
- A.AM.I4OTUCHFTMUXW
- Place
- Armenia
- Frequency
- Annual
- Unit
- Not provided
- Observation coverage
- Jan 1, 1990 – Jan 1, 2024
- Latest reported observation
- —
- Observation period
- 2024
- 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 35 of 35 observations, oldest first within this sample.
| Observation period | Value | Breakdown / dimensions | Additional measurements | Coordinates (longitude, latitude) |
|---|---|---|---|---|
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 96; AGEGROUP_YEARS10-14|SEX_FMLE: 35; AGEGROUP_YEARS10-14|SEX_MLE: 61; AGEGROUP_YEARS10-19|SEX_BTSX: 234; AGEGROUP_YEARS10-19|SEX_FMLE: 78; AGEGROUP_YEARS10-19|SEX_MLE: 156; AGEGROUP_YEARS15-19|SEX_BTSX: 138; AGEGROUP_YEARS15-19|SEX_FMLE: 43; AGEGROUP_YEARS15-19|SEX_MLE: 95 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 89; AGEGROUP_YEARS10-14|SEX_FMLE: 32; AGEGROUP_YEARS10-14|SEX_MLE: 57; AGEGROUP_YEARS10-19|SEX_BTSX: 241; AGEGROUP_YEARS10-19|SEX_FMLE: 76; AGEGROUP_YEARS10-19|SEX_MLE: 165; AGEGROUP_YEARS15-19|SEX_BTSX: 152; AGEGROUP_YEARS15-19|SEX_FMLE: 44; AGEGROUP_YEARS15-19|SEX_MLE: 108 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 84; AGEGROUP_YEARS10-14|SEX_FMLE: 30; AGEGROUP_YEARS10-14|SEX_MLE: 54; AGEGROUP_YEARS10-19|SEX_BTSX: 283; AGEGROUP_YEARS10-19|SEX_FMLE: 82; AGEGROUP_YEARS10-19|SEX_MLE: 201; AGEGROUP_YEARS15-19|SEX_BTSX: 199; AGEGROUP_YEARS15-19|SEX_FMLE: 52; AGEGROUP_YEARS15-19|SEX_MLE: 147 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 80; AGEGROUP_YEARS10-14|SEX_FMLE: 29; AGEGROUP_YEARS10-14|SEX_MLE: 51; AGEGROUP_YEARS10-19|SEX_BTSX: 323; AGEGROUP_YEARS10-19|SEX_FMLE: 87; AGEGROUP_YEARS10-19|SEX_MLE: 236; AGEGROUP_YEARS15-19|SEX_BTSX: 243; AGEGROUP_YEARS15-19|SEX_FMLE: 58; AGEGROUP_YEARS15-19|SEX_MLE: 185 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 77; AGEGROUP_YEARS10-14|SEX_FMLE: 28; AGEGROUP_YEARS10-14|SEX_MLE: 49; AGEGROUP_YEARS10-19|SEX_BTSX: 327; AGEGROUP_YEARS10-19|SEX_FMLE: 84; AGEGROUP_YEARS10-19|SEX_MLE: 243; AGEGROUP_YEARS15-19|SEX_BTSX: 250; AGEGROUP_YEARS15-19|SEX_FMLE: 56; AGEGROUP_YEARS15-19|SEX_MLE: 194 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 75; AGEGROUP_YEARS10-14|SEX_FMLE: 27; AGEGROUP_YEARS10-14|SEX_MLE: 48; AGEGROUP_YEARS10-19|SEX_BTSX: 306; AGEGROUP_YEARS10-19|SEX_FMLE: 75; AGEGROUP_YEARS10-19|SEX_MLE: 231; AGEGROUP_YEARS15-19|SEX_BTSX: 231; AGEGROUP_YEARS15-19|SEX_FMLE: 48; AGEGROUP_YEARS15-19|SEX_MLE: 183 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 74; AGEGROUP_YEARS10-14|SEX_FMLE: 27; AGEGROUP_YEARS10-14|SEX_MLE: 47; AGEGROUP_YEARS10-19|SEX_BTSX: 280; AGEGROUP_YEARS10-19|SEX_FMLE: 68; AGEGROUP_YEARS10-19|SEX_MLE: 212; AGEGROUP_YEARS15-19|SEX_BTSX: 206; AGEGROUP_YEARS15-19|SEX_FMLE: 41; AGEGROUP_YEARS15-19|SEX_MLE: 165 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 72; AGEGROUP_YEARS10-14|SEX_FMLE: 26; AGEGROUP_YEARS10-14|SEX_MLE: 46; AGEGROUP_YEARS10-19|SEX_BTSX: 252; AGEGROUP_YEARS10-19|SEX_FMLE: 62; AGEGROUP_YEARS10-19|SEX_MLE: 190; AGEGROUP_YEARS15-19|SEX_BTSX: 180; AGEGROUP_YEARS15-19|SEX_FMLE: 36; AGEGROUP_YEARS15-19|SEX_MLE: 144 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 69; AGEGROUP_YEARS10-14|SEX_FMLE: 25; AGEGROUP_YEARS10-14|SEX_MLE: 44; AGEGROUP_YEARS10-19|SEX_BTSX: 226; AGEGROUP_YEARS10-19|SEX_FMLE: 57; AGEGROUP_YEARS10-19|SEX_MLE: 169; AGEGROUP_YEARS15-19|SEX_BTSX: 157; AGEGROUP_YEARS15-19|SEX_FMLE: 32; AGEGROUP_YEARS15-19|SEX_MLE: 125 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 64; AGEGROUP_YEARS10-14|SEX_FMLE: 24; AGEGROUP_YEARS10-14|SEX_MLE: 40; AGEGROUP_YEARS10-19|SEX_BTSX: 201; AGEGROUP_YEARS10-19|SEX_FMLE: 53; AGEGROUP_YEARS10-19|SEX_MLE: 148; AGEGROUP_YEARS15-19|SEX_BTSX: 137; AGEGROUP_YEARS15-19|SEX_FMLE: 29; AGEGROUP_YEARS15-19|SEX_MLE: 108 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 59; AGEGROUP_YEARS10-14|SEX_FMLE: 22; AGEGROUP_YEARS10-14|SEX_MLE: 37; AGEGROUP_YEARS10-19|SEX_BTSX: 181; AGEGROUP_YEARS10-19|SEX_FMLE: 49; AGEGROUP_YEARS10-19|SEX_MLE: 132; AGEGROUP_YEARS15-19|SEX_BTSX: 122; AGEGROUP_YEARS15-19|SEX_FMLE: 27; AGEGROUP_YEARS15-19|SEX_MLE: 95 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 57; AGEGROUP_YEARS10-14|SEX_FMLE: 22; AGEGROUP_YEARS10-14|SEX_MLE: 35; AGEGROUP_YEARS10-19|SEX_BTSX: 170; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 122; AGEGROUP_YEARS15-19|SEX_BTSX: 113; AGEGROUP_YEARS15-19|SEX_FMLE: 26; AGEGROUP_YEARS15-19|SEX_MLE: 87 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 55; AGEGROUP_YEARS10-14|SEX_FMLE: 21; AGEGROUP_YEARS10-14|SEX_MLE: 34; AGEGROUP_YEARS10-19|SEX_BTSX: 164; AGEGROUP_YEARS10-19|SEX_FMLE: 47; AGEGROUP_YEARS10-19|SEX_MLE: 117; AGEGROUP_YEARS15-19|SEX_BTSX: 109; AGEGROUP_YEARS15-19|SEX_FMLE: 26; AGEGROUP_YEARS15-19|SEX_MLE: 83 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 53; AGEGROUP_YEARS10-14|SEX_FMLE: 21; AGEGROUP_YEARS10-14|SEX_MLE: 32; AGEGROUP_YEARS10-19|SEX_BTSX: 164; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 116; AGEGROUP_YEARS15-19|SEX_BTSX: 111; AGEGROUP_YEARS15-19|SEX_FMLE: 27; AGEGROUP_YEARS15-19|SEX_MLE: 84 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 51; AGEGROUP_YEARS10-14|SEX_FMLE: 20; AGEGROUP_YEARS10-14|SEX_MLE: 31; AGEGROUP_YEARS10-19|SEX_BTSX: 165; AGEGROUP_YEARS10-19|SEX_FMLE: 47; AGEGROUP_YEARS10-19|SEX_MLE: 118; AGEGROUP_YEARS15-19|SEX_BTSX: 114; AGEGROUP_YEARS15-19|SEX_FMLE: 27; AGEGROUP_YEARS15-19|SEX_MLE: 87 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 48; AGEGROUP_YEARS10-14|SEX_FMLE: 19; AGEGROUP_YEARS10-14|SEX_MLE: 29; AGEGROUP_YEARS10-19|SEX_BTSX: 167; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 119; AGEGROUP_YEARS15-19|SEX_BTSX: 119; AGEGROUP_YEARS15-19|SEX_FMLE: 29; AGEGROUP_YEARS15-19|SEX_MLE: 90 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 45; AGEGROUP_YEARS10-14|SEX_FMLE: 18; AGEGROUP_YEARS10-14|SEX_MLE: 27; AGEGROUP_YEARS10-19|SEX_BTSX: 168; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 120; AGEGROUP_YEARS15-19|SEX_BTSX: 123; AGEGROUP_YEARS15-19|SEX_FMLE: 30; AGEGROUP_YEARS15-19|SEX_MLE: 93 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 43; AGEGROUP_YEARS10-14|SEX_FMLE: 17; AGEGROUP_YEARS10-14|SEX_MLE: 26; AGEGROUP_YEARS10-19|SEX_BTSX: 168; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 120; AGEGROUP_YEARS15-19|SEX_BTSX: 125; AGEGROUP_YEARS15-19|SEX_FMLE: 31; AGEGROUP_YEARS15-19|SEX_MLE: 94 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 41; AGEGROUP_YEARS10-14|SEX_FMLE: 16; AGEGROUP_YEARS10-14|SEX_MLE: 25; AGEGROUP_YEARS10-19|SEX_BTSX: 168; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 120; AGEGROUP_YEARS15-19|SEX_BTSX: 127; AGEGROUP_YEARS15-19|SEX_FMLE: 32; AGEGROUP_YEARS15-19|SEX_MLE: 95 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 39; AGEGROUP_YEARS10-14|SEX_FMLE: 15; AGEGROUP_YEARS10-14|SEX_MLE: 24; AGEGROUP_YEARS10-19|SEX_BTSX: 165; AGEGROUP_YEARS10-19|SEX_FMLE: 48; AGEGROUP_YEARS10-19|SEX_MLE: 117; AGEGROUP_YEARS15-19|SEX_BTSX: 126; AGEGROUP_YEARS15-19|SEX_FMLE: 33; AGEGROUP_YEARS15-19|SEX_MLE: 93 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 37; AGEGROUP_YEARS10-14|SEX_FMLE: 14; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 157; AGEGROUP_YEARS10-19|SEX_FMLE: 46; AGEGROUP_YEARS10-19|SEX_MLE: 111; AGEGROUP_YEARS15-19|SEX_BTSX: 120; AGEGROUP_YEARS15-19|SEX_FMLE: 32; AGEGROUP_YEARS15-19|SEX_MLE: 88 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 37; AGEGROUP_YEARS10-14|SEX_FMLE: 14; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 143; AGEGROUP_YEARS10-19|SEX_FMLE: 42; AGEGROUP_YEARS10-19|SEX_MLE: 101; AGEGROUP_YEARS15-19|SEX_BTSX: 106; AGEGROUP_YEARS15-19|SEX_FMLE: 28; AGEGROUP_YEARS15-19|SEX_MLE: 78 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 35; AGEGROUP_YEARS10-14|SEX_FMLE: 13; AGEGROUP_YEARS10-14|SEX_MLE: 22; AGEGROUP_YEARS10-19|SEX_BTSX: 127; AGEGROUP_YEARS10-19|SEX_FMLE: 36; AGEGROUP_YEARS10-19|SEX_MLE: 91; AGEGROUP_YEARS15-19|SEX_BTSX: 92; AGEGROUP_YEARS15-19|SEX_FMLE: 23; AGEGROUP_YEARS15-19|SEX_MLE: 69 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 35; AGEGROUP_YEARS10-14|SEX_FMLE: 13; AGEGROUP_YEARS10-14|SEX_MLE: 22; AGEGROUP_YEARS10-19|SEX_BTSX: 122; AGEGROUP_YEARS10-19|SEX_FMLE: 34; AGEGROUP_YEARS10-19|SEX_MLE: 88; AGEGROUP_YEARS15-19|SEX_BTSX: 87; AGEGROUP_YEARS15-19|SEX_FMLE: 21; AGEGROUP_YEARS15-19|SEX_MLE: 66 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 35; AGEGROUP_YEARS10-14|SEX_FMLE: 13; AGEGROUP_YEARS10-14|SEX_MLE: 22; AGEGROUP_YEARS10-19|SEX_BTSX: 129; AGEGROUP_YEARS10-19|SEX_FMLE: 35; AGEGROUP_YEARS10-19|SEX_MLE: 94; AGEGROUP_YEARS15-19|SEX_BTSX: 94; AGEGROUP_YEARS15-19|SEX_FMLE: 22; AGEGROUP_YEARS15-19|SEX_MLE: 72 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 35; AGEGROUP_YEARS10-14|SEX_FMLE: 13; AGEGROUP_YEARS10-14|SEX_MLE: 22; AGEGROUP_YEARS10-19|SEX_BTSX: 137; AGEGROUP_YEARS10-19|SEX_FMLE: 36; AGEGROUP_YEARS10-19|SEX_MLE: 101; AGEGROUP_YEARS15-19|SEX_BTSX: 102; AGEGROUP_YEARS15-19|SEX_FMLE: 23; AGEGROUP_YEARS15-19|SEX_MLE: 79 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 36; AGEGROUP_YEARS10-14|SEX_FMLE: 14; AGEGROUP_YEARS10-14|SEX_MLE: 22; AGEGROUP_YEARS10-19|SEX_BTSX: 140; AGEGROUP_YEARS10-19|SEX_FMLE: 37; AGEGROUP_YEARS10-19|SEX_MLE: 103; AGEGROUP_YEARS15-19|SEX_BTSX: 104; AGEGROUP_YEARS15-19|SEX_FMLE: 23; AGEGROUP_YEARS15-19|SEX_MLE: 81 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 37; AGEGROUP_YEARS10-14|SEX_FMLE: 14; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 134; AGEGROUP_YEARS10-19|SEX_FMLE: 36; AGEGROUP_YEARS10-19|SEX_MLE: 98; AGEGROUP_YEARS15-19|SEX_BTSX: 97; AGEGROUP_YEARS15-19|SEX_FMLE: 22; AGEGROUP_YEARS15-19|SEX_MLE: 75 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 37; AGEGROUP_YEARS10-14|SEX_FMLE: 14; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 124; AGEGROUP_YEARS10-19|SEX_FMLE: 34; AGEGROUP_YEARS10-19|SEX_MLE: 90; AGEGROUP_YEARS15-19|SEX_BTSX: 87; AGEGROUP_YEARS15-19|SEX_FMLE: 20; AGEGROUP_YEARS15-19|SEX_MLE: 67 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 37; AGEGROUP_YEARS10-14|SEX_FMLE: 14; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 114; AGEGROUP_YEARS10-19|SEX_FMLE: 32; AGEGROUP_YEARS10-19|SEX_MLE: 82; AGEGROUP_YEARS15-19|SEX_BTSX: 77; AGEGROUP_YEARS15-19|SEX_FMLE: 18; AGEGROUP_YEARS15-19|SEX_MLE: 59 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 38; AGEGROUP_YEARS10-14|SEX_FMLE: 15; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 109; AGEGROUP_YEARS10-19|SEX_FMLE: 32; AGEGROUP_YEARS10-19|SEX_MLE: 77; AGEGROUP_YEARS15-19|SEX_BTSX: 71; AGEGROUP_YEARS15-19|SEX_FMLE: 17; AGEGROUP_YEARS15-19|SEX_MLE: 54 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 38; AGEGROUP_YEARS10-14|SEX_FMLE: 15; AGEGROUP_YEARS10-14|SEX_MLE: 23; AGEGROUP_YEARS10-19|SEX_BTSX: 112; AGEGROUP_YEARS10-19|SEX_FMLE: 33; AGEGROUP_YEARS10-19|SEX_MLE: 79; AGEGROUP_YEARS15-19|SEX_BTSX: 74; AGEGROUP_YEARS15-19|SEX_FMLE: 18; AGEGROUP_YEARS15-19|SEX_MLE: 56 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 39; AGEGROUP_YEARS10-14|SEX_FMLE: 15; AGEGROUP_YEARS10-14|SEX_MLE: 24; AGEGROUP_YEARS10-19|SEX_BTSX: 127; AGEGROUP_YEARS10-19|SEX_FMLE: 34; AGEGROUP_YEARS10-19|SEX_MLE: 93; AGEGROUP_YEARS15-19|SEX_BTSX: 88; AGEGROUP_YEARS15-19|SEX_FMLE: 19; AGEGROUP_YEARS15-19|SEX_MLE: 69 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 39; AGEGROUP_YEARS10-14|SEX_FMLE: 15; AGEGROUP_YEARS10-14|SEX_MLE: 24; AGEGROUP_YEARS10-19|SEX_BTSX: 119; AGEGROUP_YEARS10-19|SEX_FMLE: 33; AGEGROUP_YEARS10-19|SEX_MLE: 86; AGEGROUP_YEARS15-19|SEX_BTSX: 80; AGEGROUP_YEARS15-19|SEX_FMLE: 18; AGEGROUP_YEARS15-19|SEX_MLE: 62 | 45, 40.25 | |
| — | — | AGEGROUP_YEARS10-14|SEX_BTSX: 40; AGEGROUP_YEARS10-14|SEX_FMLE: 15; AGEGROUP_YEARS10-14|SEX_MLE: 25; AGEGROUP_YEARS10-19|SEX_BTSX: 105; AGEGROUP_YEARS10-19|SEX_FMLE: 30; AGEGROUP_YEARS10-19|SEX_MLE: 75; AGEGROUP_YEARS15-19|SEX_BTSX: 65; AGEGROUP_YEARS15-19|SEX_FMLE: 15; AGEGROUP_YEARS15-19|SEX_MLE: 50 | 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. Number of deaths among adolescents (10 to 19 years of age). A.AM.I4OTUCHFTMUXW. 2024. https://ridgital.com/armenia-in-data/data/series/A.AM.I4OTUCHFTMUXW
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