Источник данных: Всемирная организация здравоохранения (ВОЗ)
Последнее обновление данных: 27.12.2020
Данные, которые используются для построения таблиц продолжительности жизни, - это данные государственной регистрации смертей. Данные тщательно проверялись и при необходимости корректировались. Отсутствие полностью достоверных данных о смертности, особенно в странах с низким достатком, требует применения моделирования, основываясь на данных других стран. Это может приводить к незначительным различиям при сравнении статистик ВОЗ с официальными статистиками государств.
Мадагаскар: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Мадагаскар
| 2019 | 2015 | 2010 | 2000 | |
|---|---|---|---|---|
| Мужчины | 64.1 | 62.9 | 61.4 | 57.5 |
| Женщины | 66.6 | 65.5 | 64.2 | 60.2 |
| Оба пола | 65.3 | 64.2 | 62.8 | 58.8 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1106007 | 24619337 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | 58.8 | 58.82296 | 2020-12-04T17:02:11.887+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106008 | 24619341 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | 62.8 | 62.79004 | 2020-12-04T17:02:11.997+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106009 | 24619345 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | 64.2 | 64.18649 | 2020-12-04T17:02:12.183+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106010 | 24619349 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | 65.3 | 65.34995 | 2020-12-04T17:02:12.26+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106003 | 24619321 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2000 | SEX | FMLE | 60.2 | 60.17678 | 2020-12-04T17:02:11.413+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106004 | 24619325 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2010 | SEX | FMLE | 64.2 | 64.16717 | 2020-12-04T17:02:11.54+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106005 | 24619329 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2015 | SEX | FMLE | 65.5 | 65.50301 | 2020-12-04T17:02:11.65+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106006 | 24619333 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2019 | SEX | FMLE | 66.6 | 66.59742 | 2020-12-04T17:02:11.76+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105999 | 24619305 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2000 | SEX | MLE | 57.5 | 57.53505 | 2020-12-04T17:02:11.037+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106000 | 24619309 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2010 | SEX | MLE | 61.4 | 61.43193 | 2020-12-04T17:02:11.13+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106001 | 24619313 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2015 | SEX | MLE | 62.9 | 62.87302 | 2020-12-04T17:02:11.227+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106002 | 24619317 | WHOSIS_000001 | COUNTRY | MDG | YEAR | 2019 | SEX | MLE | 64.1 | 64.09824 | 2020-12-04T17:02:11.337+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность здоровой жизни (HALE) при рождении, лет. Мадагаскар
| 2019 | 2015 | 2010 | 2000 | |
|---|---|---|---|---|
| Мужчины | 56.9 | 55.8 | 54.5 | 50.7 |
| Женщины | 57.7 | 56.8 | 55.6 | 52.0 |
| Оба пола | 57.3 | 56.3 | 55.1 | 51.3 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1108335 | 24619338 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | 51.3 | 51.32107 | 2020-12-04T17:02:11.917+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108336 | 24619342 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | 55.1 | 55.0767 | 2020-12-04T17:02:12.027+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108337 | 24619346 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | 56.3 | 56.30285 | 2020-12-04T17:02:12.2+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108338 | 24619350 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | 57.3 | 57.31128 | 2020-12-04T17:02:12.293+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108331 | 24619322 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2000 | SEX | FMLE | 52.0 | 51.98148 | 2020-12-04T17:02:11.443+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108332 | 24619326 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2010 | SEX | FMLE | 55.6 | 55.61774 | 2020-12-04T17:02:11.557+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108333 | 24619330 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2015 | SEX | FMLE | 56.8 | 56.7665 | 2020-12-04T17:02:11.68+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108334 | 24619334 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2019 | SEX | FMLE | 57.7 | 57.73955 | 2020-12-04T17:02:11.79+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108327 | 24619306 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2000 | SEX | MLE | 50.7 | 50.70512 | 2020-12-04T17:02:11.07+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108328 | 24619310 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2010 | SEX | MLE | 54.5 | 54.54875 | 2020-12-04T17:02:11.147+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108329 | 24619314 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2015 | SEX | MLE | 55.8 | 55.84289 | 2020-12-04T17:02:11.24+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108330 | 24619318 | WHOSIS_000002 | COUNTRY | MDG | YEAR | 2019 | SEX | MLE | 56.9 | 56.88156 | 2020-12-04T17:02:11.35+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Мадагаскар
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 65 | 64 | 63 | 61 | 59 |
| 1-4 года | 67 | 66 | 65 | 63 | 62 |
| 5-9 лет | 64 | 63 | 62 | 61 | 61 |
| 10-14 лет | 59 | 59 | 58 | 57 | 57 |
| 15-19 лет | 55 | 54 | 54 | 53 | 52 |
| 20-24 года | 50 | 50 | 49 | 48 | 48 |
| 25-29 лет | 46 | 45 | 44 | 44 | 43 |
| 30-34 года | 41 | 41 | 40 | 39 | 39 |
| 35-39 лет | 37 | 36 | 36 | 35 | 34 |
| 40-44 года | 32 | 32 | 31 | 31 | 30 |
| 45-49 лет | 28 | 28 | 27 | 27 | 26 |
| 50-54 года | 24 | 24 | 23 | 23 | 22 |
| 55-59 лет | 20 | 20 | 20 | 19 | 19 |
| 60-64 года | 17 | 17 | 16 | 16 | 15 |
| 65-69 лет | 14 | 13 | 13 | 13 | 12 |
| 70-74 года | 11 | 11 | 10 | 10 | 10 |
| 75-79 лет | 8 | 8 | 8 | 8 | 8 |
| 80-84 года | 6 | 6 | 6 | 6 | 6 |
| 85+ лет | 5 | 5 | 5 | 4 | 4 |
Значение указывает ожидаемую продолжительность жизни в возрастной группе (в момент, когда человек уже дожил до определенного возраста).
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1136503 | 24837380 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 62.0616377 | 62.06164 | 2020-12-06T12:27:45.833+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136502 | 24837379 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 58.8229575 | 58.82296 | 2020-12-06T12:27:45.82+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136520 | 24837397 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.388064766 | 4.38806 | 2020-12-06T12:27:46.23+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136519 | 24837396 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 5.81489634 | 5.8149 | 2020-12-06T12:27:46.197+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136518 | 24837395 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 7.672901106 | 7.6729 | 2020-12-06T12:27:46.18+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136517 | 24837394 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 9.85869891 | 9.8587 | 2020-12-06T12:27:46.167+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136516 | 24837393 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 12.46586244 | 12.46586 | 2020-12-06T12:27:46.133+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136515 | 24837392 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 15.38045781 | 15.38046 | 2020-12-06T12:27:46.12+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136514 | 24837391 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 18.66296986 | 18.66297 | 2020-12-06T12:27:46.103+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136513 | 24837390 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 22.21388868 | 22.21389 | 2020-12-06T12:27:46.07+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136511 | 24837388 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 30.14605386 | 30.14605 | 2020-12-06T12:27:46.023+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136512 | 24837389 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 26.08365316 | 26.08365 | 2020-12-06T12:27:46.057+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136504 | 24837381 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 60.6537436 | 60.65374 | 2020-12-06T12:27:45.867+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136505 | 24837382 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 56.64249362 | 56.64249 | 2020-12-06T12:27:45.88+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136506 | 24837383 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 52.20873924 | 52.20874 | 2020-12-06T12:27:45.897+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136507 | 24837384 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 47.62338813 | 47.62339 | 2020-12-06T12:27:45.93+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136508 | 24837385 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 43.16604141 | 43.16604 | 2020-12-06T12:27:45.947+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136509 | 24837386 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 38.75528895 | 38.75529 | 2020-12-06T12:27:45.977+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136510 | 24837387 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 34.39805921 | 34.39806 | 2020-12-06T12:27:45.993+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1136539 | 24837416 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.432949616 | 4.43295 | 2020-12-06T12:27:46.743+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136538 | 24837415 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 5.921328823 | 5.92133 | 2020-12-06T12:27:46.73+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136537 | 24837414 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 7.840672327 | 7.84067 | 2020-12-06T12:27:46.697+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136536 | 24837413 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.0904551 | 10.09046 | 2020-12-06T12:27:46.68+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136535 | 24837412 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 12.74969078 | 12.74969 | 2020-12-06T12:27:46.667+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136534 | 24837411 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 15.71492544 | 15.71493 | 2020-12-06T12:27:46.633+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136533 | 24837410 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.03931487 | 19.03931 | 2020-12-06T12:27:46.62+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136532 | 24837409 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 22.63110064 | 22.6311 | 2020-12-06T12:27:46.587+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136531 | 24837408 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 26.52741618 | 26.52742 | 2020-12-06T12:27:46.557+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136529 | 24837406 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 34.87138508 | 34.87139 | 2020-12-06T12:27:46.493+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136528 | 24837405 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 39.24246257 | 39.24246 | 2020-12-06T12:27:46.447+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136527 | 24837404 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 43.67487533 | 43.67488 | 2020-12-06T12:27:46.43+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136526 | 24837403 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 48.15726856 | 48.15727 | 2020-12-06T12:27:46.4+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136525 | 24837402 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 52.77001073 | 52.77001 | 2020-12-06T12:27:46.383+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136524 | 24837401 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 57.26427237 | 57.26427 | 2020-12-06T12:27:46.353+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136523 | 24837400 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 61.41417887 | 61.41418 | 2020-12-06T12:27:46.323+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136522 | 24837399 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 63.49360664 | 63.49361 | 2020-12-06T12:27:46.307+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136521 | 24837398 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 60.86938898 | 60.86939 | 2020-12-06T12:27:46.273+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136530 | 24837407 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 30.6067638 | 30.60676 | 2020-12-06T12:27:46.527+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1136549 | 24837426 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 31.21809167 | 31.21809 | 2020-12-06T12:27:46.997+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136550 | 24837427 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 27.10568245 | 27.10568 | 2020-12-06T12:27:47.01+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136551 | 24837428 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 23.16471032 | 23.16471 | 2020-12-06T12:27:47.043+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136552 | 24837429 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.50848636 | 19.50849 | 2020-12-06T12:27:47.06+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136553 | 24837430 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.12036999 | 16.12037 | 2020-12-06T12:27:47.09+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136554 | 24837431 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.09579352 | 13.09579 | 2020-12-06T12:27:47.107+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136555 | 24837432 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.36744223 | 10.36744 | 2020-12-06T12:27:47.137+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136556 | 24837433 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.053992986 | 8.05399 | 2020-12-06T12:27:47.153+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136557 | 24837434 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.069318705 | 6.06932 | 2020-12-06T12:27:47.183+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136558 | 24837435 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.524827976 | 4.52483 | 2020-12-06T12:27:47.2+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136547 | 24837424 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 39.90665376 | 39.90665 | 2020-12-06T12:27:46.933+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136546 | 24837423 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 44.36858665 | 44.36859 | 2020-12-06T12:27:46.917+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136545 | 24837422 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 48.88282247 | 48.88282 | 2020-12-06T12:27:46.887+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136544 | 24837421 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 53.52203775 | 53.52204 | 2020-12-06T12:27:46.87+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136543 | 24837420 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 58.05397542 | 58.05398 | 2020-12-06T12:27:46.84+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136542 | 24837419 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 62.2953127 | 62.29531 | 2020-12-06T12:27:46.823+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136541 | 24837418 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 64.82483028 | 64.82483 | 2020-12-06T12:27:46.79+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136540 | 24837417 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 62.79003574 | 62.79004 | 2020-12-06T12:27:46.777+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136548 | 24837425 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 35.5092882 | 35.50929 | 2020-12-06T12:27:46.963+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1136569 | 24837446 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 27.62388172 | 27.62388 | 2020-12-06T12:27:47.513+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136573 | 24837450 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.4410658 | 13.44107 | 2020-12-06T12:27:47.607+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136570 | 24837447 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 23.64589393 | 23.64589 | 2020-12-06T12:27:47.543+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136571 | 24837448 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.93677717 | 19.93678 | 2020-12-06T12:27:47.56+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136572 | 24837449 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.50195849 | 16.50196 | 2020-12-06T12:27:47.59+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136574 | 24837451 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.66694374 | 10.66694 | 2020-12-06T12:27:47.64+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136575 | 24837452 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.303195086 | 8.3032 | 2020-12-06T12:27:47.653+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136576 | 24837453 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.257114021 | 6.25711 | 2020-12-06T12:27:47.687+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136577 | 24837454 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.644432168 | 4.64443 | 2020-12-06T12:27:47.717+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136567 | 24837444 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.09201654 | 36.09202 | 2020-12-06T12:27:47.467+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136568 | 24837445 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 31.76825447 | 31.76825 | 2020-12-06T12:27:47.497+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136559 | 24837436 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 64.18648808 | 64.18649 | 2020-12-06T12:27:47.23+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136560 | 24837437 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 65.9137089 | 65.91371 | 2020-12-06T12:27:47.247+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136561 | 24837438 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 63.08369767 | 63.0837 | 2020-12-06T12:27:47.293+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136562 | 24837439 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 58.79178784 | 58.79179 | 2020-12-06T12:27:47.327+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136563 | 24837440 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.23704342 | 54.23704 | 2020-12-06T12:27:47.357+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136564 | 24837441 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 49.57239486 | 49.57239 | 2020-12-06T12:27:47.39+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136565 | 24837442 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.0239449 | 45.02394 | 2020-12-06T12:27:47.42+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136566 | 24837443 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 40.52398515 | 40.52399 | 2020-12-06T12:27:47.433+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1136596 | 24837473 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.670940526 | 4.67094 | 2020-12-06T12:27:48.16+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136595 | 24837472 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.343655915 | 6.34366 | 2020-12-06T12:27:48.127+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136594 | 24837471 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.433569423 | 8.43357 | 2020-12-06T12:27:48.11+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136593 | 24837470 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.83855973 | 10.83856 | 2020-12-06T12:27:48.08+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136592 | 24837469 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.65353215 | 13.65353 | 2020-12-06T12:27:48.063+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136591 | 24837468 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.76095585 | 16.76096 | 2020-12-06T12:27:48.033+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136590 | 24837467 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.24061858 | 20.24062 | 2020-12-06T12:27:48.017+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136589 | 24837466 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 23.99738057 | 23.99738 | 2020-12-06T12:27:48+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136588 | 24837465 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.01173877 | 28.01174 | 2020-12-06T12:27:47.97+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136587 | 24837464 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 32.19574704 | 32.19575 | 2020-12-06T12:27:47.953+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136586 | 24837463 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.55501293 | 36.55501 | 2020-12-06T12:27:47.923+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136585 | 24837462 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 41.02382464 | 41.02382 | 2020-12-06T12:27:47.907+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136584 | 24837461 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.55869534 | 45.5587 | 2020-12-06T12:27:47.877+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136583 | 24837460 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 50.14013573 | 50.14014 | 2020-12-06T12:27:47.86+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136582 | 24837459 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.82968332 | 54.82968 | 2020-12-06T12:27:47.827+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136581 | 24837458 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 59.39664605 | 59.39665 | 2020-12-06T12:27:47.81+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136580 | 24837457 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 63.72638611 | 63.72639 | 2020-12-06T12:27:47.78+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136579 | 24837456 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 66.77300772 | 66.77301 | 2020-12-06T12:27:47.763+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1136578 | 24837455 | LIFE_0000000035 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 65.34995071 | 65.34995 | 2020-12-06T12:27:47.747+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Количество людей, оставшихся в живых в начале возрастной группы (остаток на примере 100'000 группы людей). Мадагаскар
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
| 1-4 года | 96'409 | 95'906 | 95'368 | 94'354 | 93'246 |
| 5-9 лет | 95'019 | 94'192 | 93'201 | 91'515 | 89'413 |
| 10-14 лет | 93'990 | 93'104 | 92'033 | 90'213 | 87'918 |
| 15-19 лет | 93'280 | 92'374 | 91'264 | 89'387 | 87'008 |
| 20-24 года | 92'730 | 91'779 | 90'623 | 88'704 | 86'289 |
| 25-29 лет | 91'922 | 90'907 | 89'684 | 87'710 | 85'263 |
| 30-34 года | 90'940 | 89'850 | 88'546 | 86'517 | 84'045 |
| 35-39 лет | 89'703 | 88'528 | 87'142 | 85'061 | 82'581 |
| 40-44 года | 88'046 | 86'781 | 85'310 | 83'172 | 80'689 |
| 45-49 лет | 85'692 | 84'316 | 82'753 | 80'534 | 78'042 |
| 50-54 года | 82'504 | 81'020 | 79'338 | 76'997 | 74'473 |
| 55-59 лет | 77'994 | 76'358 | 74'494 | 71'963 | 69'374 |
| 60-64 года | 71'837 | 70'069 | 68'045 | 65'343 | 62'710 |
| 65-69 лет | 63'421 | 61'546 | 59'426 | 56'624 | 53'972 |
| 70-74 года | 53'032 | 51'141 | 48'935 | 46'097 | 43'522 |
| 75-79 лет | 40'445 | 38'661 | 36'479 | 33'837 | 31'482 |
| 80-84 года | 27'136 | 25'620 | 23'643 | 21'459 | 19'586 |
| 85+ лет | 14'545 | 13'473 | 12'013 | 10'590 | 9'426 |
Колчество людей из 100'000 человек, оставшихся в живых в начале возрастной группы.
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1192145 | 24836525 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 93246.3837 | 93246.3837 | 2020-12-06T12:27:22.753+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192144 | 24836524 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:27:22.723+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192162 | 24836542 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 9425.763826 | 9425.76383 | 2020-12-06T12:27:23.13+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192161 | 24836541 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 19585.91312 | 19585.91312 | 2020-12-06T12:27:23.113+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192160 | 24836540 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 31482.30247 | 31482.30247 | 2020-12-06T12:27:23.083+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192159 | 24836539 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 43522.14346 | 43522.14346 | 2020-12-06T12:27:23.067+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192158 | 24836538 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 53971.95375 | 53971.95375 | 2020-12-06T12:27:23.037+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192157 | 24836537 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 62710.25827 | 62710.25827 | 2020-12-06T12:27:23.02+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192156 | 24836536 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 69373.89212 | 69373.89212 | 2020-12-06T12:27:22.99+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192155 | 24836535 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 74473.26155 | 74473.26155 | 2020-12-06T12:27:22.973+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192153 | 24836533 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 80689.11734 | 80689.11734 | 2020-12-06T12:27:22.927+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192154 | 24836534 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 78042.35769 | 78042.35769 | 2020-12-06T12:27:22.957+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192146 | 24836526 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 89413.07441 | 89413.07441 | 2020-12-06T12:27:22.77+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192147 | 24836527 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 87918.25783 | 87918.25783 | 2020-12-06T12:27:22.787+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192148 | 24836528 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 87008.28753 | 87008.28753 | 2020-12-06T12:27:22.817+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192149 | 24836529 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 86288.50597 | 86288.50597 | 2020-12-06T12:27:22.833+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192150 | 24836530 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 85263.13265 | 85263.13265 | 2020-12-06T12:27:22.863+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192151 | 24836531 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 84045.32294 | 84045.32294 | 2020-12-06T12:27:22.88+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192152 | 24836532 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 82581.23959 | 82581.23959 | 2020-12-06T12:27:22.91+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1192181 | 24836561 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 10589.68755 | 10589.68755 | 2020-12-06T12:27:23.567+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192180 | 24836560 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 21458.84655 | 21458.84655 | 2020-12-06T12:27:23.537+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192179 | 24836559 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 33836.93886 | 33836.93886 | 2020-12-06T12:27:23.52+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192178 | 24836558 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 46096.9326 | 46096.9326 | 2020-12-06T12:27:23.503+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192177 | 24836557 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 56624.27996 | 56624.27996 | 2020-12-06T12:27:23.473+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192176 | 24836556 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 65342.99145 | 65342.99145 | 2020-12-06T12:27:23.457+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192175 | 24836555 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 71962.93961 | 71962.93961 | 2020-12-06T12:27:23.427+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192174 | 24836554 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 76996.9036 | 76996.9036 | 2020-12-06T12:27:23.41+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192173 | 24836553 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 80533.7086 | 80533.7086 | 2020-12-06T12:27:23.38+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192171 | 24836551 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 85061.03894 | 85061.03894 | 2020-12-06T12:27:23.333+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192170 | 24836550 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 86517.03287 | 86517.03287 | 2020-12-06T12:27:23.317+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192169 | 24836549 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 87709.65249 | 87709.65249 | 2020-12-06T12:27:23.287+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192168 | 24836548 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 88703.9982 | 88703.9982 | 2020-12-06T12:27:23.27+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192167 | 24836547 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 89387.3344 | 89387.3344 | 2020-12-06T12:27:23.24+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192166 | 24836546 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 90212.81062 | 90212.81062 | 2020-12-06T12:27:23.223+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192165 | 24836545 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 91514.52312 | 91514.52312 | 2020-12-06T12:27:23.193+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192164 | 24836544 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 94354.23891 | 94354.23891 | 2020-12-06T12:27:23.177+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192163 | 24836543 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:27:23.147+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192172 | 24836552 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 83171.63417 | 83171.63417 | 2020-12-06T12:27:23.363+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1192191 | 24836571 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 85310.44284 | 85310.44284 | 2020-12-06T12:27:23.82+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192192 | 24836572 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 82752.79998 | 82752.79998 | 2020-12-06T12:27:23.837+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192193 | 24836573 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 79338.0908 | 79338.0908 | 2020-12-06T12:27:23.867+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192194 | 24836574 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 74493.93099 | 74493.93099 | 2020-12-06T12:27:23.883+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192195 | 24836575 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 68045.31864 | 68045.31864 | 2020-12-06T12:27:23.913+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192196 | 24836576 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 59426.43541 | 59426.43541 | 2020-12-06T12:27:23.93+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192197 | 24836577 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 48935.15181 | 48935.15181 | 2020-12-06T12:27:23.96+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192198 | 24836578 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 36478.56128 | 36478.56128 | 2020-12-06T12:27:23.977+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192199 | 24836579 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 23642.68158 | 23642.68158 | 2020-12-06T12:27:24.01+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192200 | 24836580 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 12012.85866 | 12012.85866 | 2020-12-06T12:27:24.023+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192189 | 24836569 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 88546.19447 | 88546.19447 | 2020-12-06T12:27:23.773+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192188 | 24836568 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 89684.131 | 89684.131 | 2020-12-06T12:27:23.757+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192187 | 24836567 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 90623.38688 | 90623.38688 | 2020-12-06T12:27:23.723+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192186 | 24836566 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 91264.19887 | 91264.19887 | 2020-12-06T12:27:23.707+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192185 | 24836565 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 92033.13273 | 92033.13273 | 2020-12-06T12:27:23.693+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192184 | 24836564 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 93200.81802 | 93200.81802 | 2020-12-06T12:27:23.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192183 | 24836563 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 95368.48164 | 95368.48164 | 2020-12-06T12:27:23.647+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192182 | 24836562 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:27:23.583+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192190 | 24836570 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 87142.30113 | 87142.30113 | 2020-12-06T12:27:23.79+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1192211 | 24836591 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 84315.71103 | 84315.71103 | 2020-12-06T12:27:24.277+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192215 | 24836595 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 61545.54337 | 61545.54337 | 2020-12-06T12:27:24.353+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192212 | 24836592 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 81019.90914 | 81019.90914 | 2020-12-06T12:27:24.293+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192213 | 24836593 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 76358.48912 | 76358.48912 | 2020-12-06T12:27:24.323+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192214 | 24836594 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 70068.88056 | 70068.88056 | 2020-12-06T12:27:24.34+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192216 | 24836596 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 51141.24075 | 51141.24075 | 2020-12-06T12:27:24.387+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192217 | 24836597 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 38661.49161 | 38661.49161 | 2020-12-06T12:27:24.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192218 | 24836598 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 25620.33309 | 25620.33309 | 2020-12-06T12:27:24.433+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192219 | 24836599 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 13473.22088 | 13473.22088 | 2020-12-06T12:27:24.45+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192209 | 24836589 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 88527.56642 | 88527.56642 | 2020-12-06T12:27:24.23+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192210 | 24836590 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 86780.59393 | 86780.59393 | 2020-12-06T12:27:24.243+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192201 | 24836581 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:27:24.057+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192202 | 24836582 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 95905.91656 | 95905.91656 | 2020-12-06T12:27:24.073+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192203 | 24836583 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 94192.37794 | 94192.37794 | 2020-12-06T12:27:24.087+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192204 | 24836584 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 93104.19469 | 93104.19469 | 2020-12-06T12:27:24.12+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192205 | 24836585 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 92373.54043 | 92373.54043 | 2020-12-06T12:27:24.137+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192206 | 24836586 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 91778.64558 | 91778.64558 | 2020-12-06T12:27:24.167+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192207 | 24836587 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 90906.60831 | 90906.60831 | 2020-12-06T12:27:24.183+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192208 | 24836588 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 89850.05897 | 89850.05897 | 2020-12-06T12:27:24.197+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1192238 | 24836618 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 14545.10098 | 14545.10098 | 2020-12-06T12:27:24.997+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192237 | 24836617 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 27136.15796 | 27136.15796 | 2020-12-06T12:27:24.963+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192236 | 24836616 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 40444.9374 | 40444.9374 | 2020-12-06T12:27:24.95+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192235 | 24836615 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 53031.64395 | 53031.64395 | 2020-12-06T12:27:24.933+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192234 | 24836614 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 63420.78375 | 63420.78375 | 2020-12-06T12:27:24.903+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192233 | 24836613 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 71837.37755 | 71837.37755 | 2020-12-06T12:27:24.76+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192232 | 24836612 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 77993.70417 | 77993.70417 | 2020-12-06T12:27:24.73+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192231 | 24836611 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 82504.24151 | 82504.24151 | 2020-12-06T12:27:24.713+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192230 | 24836610 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 85691.7792 | 85691.7792 | 2020-12-06T12:27:24.7+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192229 | 24836609 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 88046.45251 | 88046.45251 | 2020-12-06T12:27:24.667+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192228 | 24836608 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 89703.01817 | 89703.01817 | 2020-12-06T12:27:24.653+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192227 | 24836607 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 90939.89415 | 90939.89415 | 2020-12-06T12:27:24.62+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192226 | 24836606 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 91922.24646 | 91922.24646 | 2020-12-06T12:27:24.607+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192225 | 24836605 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 92729.86255 | 92729.86255 | 2020-12-06T12:27:24.59+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192224 | 24836604 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 93279.99409 | 93279.99409 | 2020-12-06T12:27:24.56+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192223 | 24836603 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 93989.94304 | 93989.94304 | 2020-12-06T12:27:24.543+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192222 | 24836602 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 95018.8735 | 95018.8735 | 2020-12-06T12:27:24.527+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192221 | 24836601 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 96408.84986 | 96408.84986 | 2020-12-06T12:27:24.497+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1192220 | 24836600 | LIFE_0000000031 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:27:24.48+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Мадагаскар: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Мадагаскар
| 2013 |
|---|
| 7 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1043561 | 11082900 | WHS9_CDR | COUNTRY | MDG | YEAR | 2013 | 7 | 7 | 2015-06-17T11:45:35.64+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 |
Уровень подростковой смертности, количество смертей на 100'000 подростков. Мадагаскар
| 2015 |
|---|
| 169.72 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1043293 | 15728295 | MORTADO | COUNTRY | MDG | YEAR | 2015 | 169.7 | 169.72 | 2017-07-10T14:13:49.287+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 |
Количество умерших людей в интервале возрастной группы (убыль на примере 100'000 группы людей). Мадагаскар
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 3'591 | 4'094 | 4'632 | 5'646 | 6'754 |
| 1-4 года | 1'390 | 1'714 | 2'168 | 2'840 | 3'833 |
| 5-9 лет | 1'029 | 1'088 | 1'168 | 1'302 | 1'495 |
| 10-14 лет | 710 | 731 | 769 | 825 | 910 |
| 15-19 лет | 550 | 595 | 641 | 683 | 720 |
| 20-24 года | 808 | 872 | 939 | 994 | 1'025 |
| 25-29 лет | 982 | 1'057 | 1'138 | 1'193 | 1'218 |
| 30-34 года | 1'237 | 1'322 | 1'404 | 1'456 | 1'464 |
| 35-39 лет | 1'657 | 1'747 | 1'832 | 1'889 | 1'892 |
| 40-44 года | 2'355 | 2'465 | 2'558 | 2'638 | 2'647 |
| 45-49 лет | 3'188 | 3'296 | 3'415 | 3'537 | 3'569 |
| 50-54 года | 4'511 | 4'661 | 4'844 | 5'034 | 5'099 |
| 55-59 лет | 6'156 | 6'290 | 6'449 | 6'620 | 6'664 |
| 60-64 года | 8'417 | 8'523 | 8'619 | 8'719 | 8'738 |
| 65-69 лет | 10'389 | 10'404 | 10'491 | 10'527 | 10'450 |
| 70-74 года | 12'587 | 12'480 | 12'457 | 12'260 | 12'040 |
| 75-79 лет | 13'309 | 13'041 | 12'836 | 12'378 | 11'896 |
| 80-84 года | 12'591 | 12'147 | 11'630 | 10'869 | 10'160 |
| 85+ лет | 14'545 | 13'473 | 12'013 | 10'590 | 9'426 |
Колчество людей из 100'000 человек, умерших в интервале возрастной группы.
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1068425 | 24835955 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 3833.309291 | 3833.30929 | 2020-12-06T12:27:06.493+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068424 | 24835954 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 6753.616301 | 6753.6163 | 2020-12-06T12:27:06.463+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068442 | 24835972 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 9425.763826 | 9425.76383 | 2020-12-06T12:27:06.883+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068441 | 24835971 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 10160.14929 | 10160.14929 | 2020-12-06T12:27:06.853+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068440 | 24835970 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 11896.38936 | 11896.38936 | 2020-12-06T12:27:06.837+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068439 | 24835969 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 12039.84099 | 12039.84099 | 2020-12-06T12:27:06.807+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068438 | 24835968 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 10449.81029 | 10449.81029 | 2020-12-06T12:27:06.79+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068437 | 24835967 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 8738.304518 | 8738.30452 | 2020-12-06T12:27:06.76+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068436 | 24835966 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 6663.633851 | 6663.63385 | 2020-12-06T12:27:06.743+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068435 | 24835965 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 5099.369429 | 5099.36943 | 2020-12-06T12:27:06.713+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068433 | 24835963 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 2646.759656 | 2646.75966 | 2020-12-06T12:27:06.68+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068434 | 24835964 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 3569.096137 | 3569.09614 | 2020-12-06T12:27:06.697+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068426 | 24835956 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 1494.816577 | 1494.81658 | 2020-12-06T12:27:06.51+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068427 | 24835957 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 909.970302 | 909.9703 | 2020-12-06T12:27:06.54+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068428 | 24835958 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 719.7815544 | 719.78155 | 2020-12-06T12:27:06.557+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068429 | 24835959 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 1025.373327 | 1025.37333 | 2020-12-06T12:27:06.587+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068430 | 24835960 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 1217.809703 | 1217.8097 | 2020-12-06T12:27:06.603+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068431 | 24835961 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 1464.083349 | 1464.08335 | 2020-12-06T12:27:06.633+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068432 | 24835962 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 1892.122252 | 1892.12225 | 2020-12-06T12:27:06.65+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1068461 | 24835991 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 10589.68755 | 10589.68755 | 2020-12-06T12:27:07.95+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068460 | 24835990 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 10869.15901 | 10869.15901 | 2020-12-06T12:27:07.92+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068459 | 24835989 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 12378.0923 | 12378.0923 | 2020-12-06T12:27:07.903+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068458 | 24835988 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 12259.99375 | 12259.99375 | 2020-12-06T12:27:07.87+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068457 | 24835987 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 10527.34735 | 10527.34735 | 2020-12-06T12:27:07.857+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068456 | 24835986 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 8718.711493 | 8718.71149 | 2020-12-06T12:27:07.823+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068455 | 24835985 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 6619.948158 | 6619.94816 | 2020-12-06T12:27:07.81+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068454 | 24835984 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 5033.963991 | 5033.96399 | 2020-12-06T12:27:07.777+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068453 | 24835983 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 3536.805002 | 3536.805 | 2020-12-06T12:27:07.76+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068451 | 24835981 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 1889.404776 | 1889.40478 | 2020-12-06T12:27:07.713+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068450 | 24835980 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 1455.993925 | 1455.99393 | 2020-12-06T12:27:07.68+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068449 | 24835979 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 1192.619627 | 1192.61963 | 2020-12-06T12:27:07.667+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068448 | 24835978 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 994.345709 | 994.34571 | 2020-12-06T12:27:07.65+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068447 | 24835977 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 683.3361971 | 683.3362 | 2020-12-06T12:27:07.307+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068446 | 24835976 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 825.4762151 | 825.47622 | 2020-12-06T12:27:07.29+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068445 | 24835975 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 1301.712506 | 1301.71251 | 2020-12-06T12:27:07.26+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068444 | 24835974 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 2839.715789 | 2839.71579 | 2020-12-06T12:27:06.917+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068443 | 24835973 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 5645.761089 | 5645.76109 | 2020-12-06T12:27:06.9+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068452 | 24835982 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 2637.925566 | 2637.92557 | 2020-12-06T12:27:07.73+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1068471 | 24836001 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 2557.642862 | 2557.64286 | 2020-12-06T12:27:08.17+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068472 | 24836002 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 3414.709174 | 3414.70917 | 2020-12-06T12:27:08.2+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068473 | 24836003 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 4844.159813 | 4844.15981 | 2020-12-06T12:27:08.217+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068474 | 24836004 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 6448.612355 | 6448.61236 | 2020-12-06T12:27:08.247+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068475 | 24836005 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 8618.883225 | 8618.88323 | 2020-12-06T12:27:08.263+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068476 | 24836006 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 10491.2836 | 10491.2836 | 2020-12-06T12:27:08.293+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068477 | 24836007 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 12456.59053 | 12456.59053 | 2020-12-06T12:27:08.31+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068478 | 24836008 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 12835.8797 | 12835.8797 | 2020-12-06T12:27:08.34+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068479 | 24836009 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 11629.82292 | 11629.82292 | 2020-12-06T12:27:08.357+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068480 | 24836010 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 12012.85866 | 12012.85866 | 2020-12-06T12:27:08.387+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068469 | 24835999 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 1403.893339 | 1403.89334 | 2020-12-06T12:27:08.12+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068468 | 24835998 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 1137.936533 | 1137.93653 | 2020-12-06T12:27:08.107+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068467 | 24835997 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 939.2558796 | 939.25588 | 2020-12-06T12:27:08.073+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068466 | 24835996 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 640.811988 | 640.81199 | 2020-12-06T12:27:08.06+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068465 | 24835995 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 768.9338632 | 768.93386 | 2020-12-06T12:27:08.027+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068464 | 24835994 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 1167.685284 | 1167.68528 | 2020-12-06T12:27:08.01+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068463 | 24835993 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 2167.663621 | 2167.66362 | 2020-12-06T12:27:07.98+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068462 | 24835992 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 4631.518361 | 4631.51836 | 2020-12-06T12:27:07.963+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068470 | 24836000 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 1831.858291 | 1831.85829 | 2020-12-06T12:27:08.153+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1068491 | 24836021 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 3295.801888 | 3295.80189 | 2020-12-06T12:27:08.623+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068495 | 24836025 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 10404.30262 | 10404.30262 | 2020-12-06T12:27:08.73+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068492 | 24836022 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 4661.420016 | 4661.42002 | 2020-12-06T12:27:08.653+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068493 | 24836023 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 6289.60856 | 6289.60856 | 2020-12-06T12:27:08.687+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068494 | 24836024 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 8523.337196 | 8523.3372 | 2020-12-06T12:27:08.7+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068496 | 24836026 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 12479.74914 | 12479.74914 | 2020-12-06T12:27:08.763+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068497 | 24836027 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 13041.15852 | 13041.15852 | 2020-12-06T12:27:08.78+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068498 | 24836028 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 12147.11221 | 12147.11221 | 2020-12-06T12:27:08.81+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068499 | 24836029 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 13473.22088 | 13473.22088 | 2020-12-06T12:27:08.827+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068489 | 24836019 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 1746.972486 | 1746.97249 | 2020-12-06T12:27:08.59+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068490 | 24836020 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 2464.882905 | 2464.88291 | 2020-12-06T12:27:08.607+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068481 | 24836011 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 4094.083439 | 4094.08344 | 2020-12-06T12:27:08.403+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068482 | 24836012 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 1713.538619 | 1713.53862 | 2020-12-06T12:27:08.42+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068483 | 24836013 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 1088.183251 | 1088.18325 | 2020-12-06T12:27:08.45+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068484 | 24836014 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 730.6542649 | 730.65426 | 2020-12-06T12:27:08.467+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068485 | 24836015 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 594.8948493 | 594.89485 | 2020-12-06T12:27:08.497+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068486 | 24836016 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 872.0372633 | 872.03726 | 2020-12-06T12:27:08.513+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068487 | 24836017 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 1056.549339 | 1056.54934 | 2020-12-06T12:27:08.543+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068488 | 24836018 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 1322.492557 | 1322.49256 | 2020-12-06T12:27:08.56+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1068518 | 24836048 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 14545.10098 | 14545.10098 | 2020-12-06T12:27:09.267+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068517 | 24836047 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 12591.05699 | 12591.05699 | 2020-12-06T12:27:09.25+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068516 | 24836046 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 13308.77944 | 13308.77944 | 2020-12-06T12:27:09.22+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068515 | 24836045 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 12586.70655 | 12586.70655 | 2020-12-06T12:27:09.203+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068514 | 24836044 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 10389.13979 | 10389.13979 | 2020-12-06T12:27:09.187+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068513 | 24836043 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 8416.5938 | 8416.5938 | 2020-12-06T12:27:09.157+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068512 | 24836042 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 6156.326622 | 6156.32662 | 2020-12-06T12:27:09.14+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068511 | 24836041 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 4510.537335 | 4510.53734 | 2020-12-06T12:27:09.123+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068510 | 24836040 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 3187.537694 | 3187.53769 | 2020-12-06T12:27:09.093+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068509 | 24836039 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 2354.673306 | 2354.67331 | 2020-12-06T12:27:09.077+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068508 | 24836038 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 1656.565666 | 1656.56567 | 2020-12-06T12:27:09.06+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068507 | 24836037 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 1236.875984 | 1236.87598 | 2020-12-06T12:27:09.03+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068506 | 24836036 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 982.3523068 | 982.35231 | 2020-12-06T12:27:09.013+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068505 | 24836035 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 807.6160902 | 807.61609 | 2020-12-06T12:27:08.983+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068504 | 24836034 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 550.1315415 | 550.13154 | 2020-12-06T12:27:08.95+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068503 | 24836033 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 709.9489495 | 709.94895 | 2020-12-06T12:27:08.937+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068502 | 24836032 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 1028.930459 | 1028.93046 | 2020-12-06T12:27:08.92+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068501 | 24836031 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 1389.976357 | 1389.97636 | 2020-12-06T12:27:08.89+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1068500 | 24836030 | LIFE_0000000032 | COUNTRY | MDG | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 3591.150142 | 3591.15014 | 2020-12-06T12:27:08.857+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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