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.
Мали: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Мали
| 2019 | 2015 | 2010 | 2000 | |
|---|---|---|---|---|
| Мужчины | 62.2 | 60.4 | 58.6 | 52.6 |
| Женщины | 63.4 | 61.4 | 59.5 | 52.7 |
| Оба пола | 62.8 | 60.9 | 59.0 | 52.6 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1106055 | 24619529 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | 52.6 | 52.63884 | 2020-12-04T17:02:17.683+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106056 | 24619533 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | 59.0 | 59.04575 | 2020-12-04T17:02:17.777+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106057 | 24619537 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | 60.9 | 60.88689 | 2020-12-04T17:02:17.887+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106058 | 24619541 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | 62.8 | 62.79813 | 2020-12-04T17:02:17.997+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106051 | 24619513 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2000 | SEX | FMLE | 52.7 | 52.74541 | 2020-12-04T17:02:17.213+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106052 | 24619517 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2010 | SEX | FMLE | 59.5 | 59.49127 | 2020-12-04T17:02:17.37+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106053 | 24619521 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2015 | SEX | FMLE | 61.4 | 61.41174 | 2020-12-04T17:02:17.447+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106054 | 24619525 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2019 | SEX | FMLE | 63.4 | 63.40044 | 2020-12-04T17:02:17.573+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106047 | 24619497 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2000 | SEX | MLE | 52.6 | 52.60764 | 2020-12-04T17:02:16.71+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106048 | 24619501 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2010 | SEX | MLE | 58.6 | 58.59385 | 2020-12-04T17:02:16.85+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106049 | 24619505 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2015 | SEX | MLE | 60.4 | 60.35869 | 2020-12-04T17:02:16.977+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1106050 | 24619509 | WHOSIS_000001 | COUNTRY | MLI | YEAR | 2019 | SEX | MLE | 62.2 | 62.19934 | 2020-12-04T17:02:17.117+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. Мали
| 2019 | 2015 | 2010 | 2000 | |
|---|---|---|---|---|
| Мужчины | 54.8 | 53.3 | 51.6 | 46.0 |
| Женщины | 54.5 | 52.7 | 51.1 | 45.3 |
| Оба пола | 54.6 | 53.0 | 51.3 | 45.6 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1108383 | 24619530 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | 45.6 | 45.61432 | 2020-12-04T17:02:17.697+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108384 | 24619534 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | 51.3 | 51.34404 | 2020-12-04T17:02:17.807+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108385 | 24619538 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | 53.0 | 52.98367 | 2020-12-04T17:02:17.9+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108386 | 24619542 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | 54.6 | 54.62648 | 2020-12-04T17:02:18.027+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108379 | 24619514 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2000 | SEX | FMLE | 45.3 | 45.30013 | 2020-12-04T17:02:17.243+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108380 | 24619518 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2010 | SEX | FMLE | 51.1 | 51.13398 | 2020-12-04T17:02:17.383+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108381 | 24619522 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2015 | SEX | FMLE | 52.7 | 52.74451 | 2020-12-04T17:02:17.48+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108382 | 24619526 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2019 | SEX | FMLE | 54.5 | 54.45554 | 2020-12-04T17:02:17.603+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108375 | 24619498 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2000 | SEX | MLE | 46.0 | 46.04017 | 2020-12-04T17:02:16.773+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108376 | 24619502 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2010 | SEX | MLE | 51.6 | 51.59005 | 2020-12-04T17:02:16.883+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108377 | 24619506 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2015 | SEX | MLE | 53.3 | 53.26373 | 2020-12-04T17:02:17.01+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108378 | 24619510 | WHOSIS_000002 | COUNTRY | MLI | YEAR | 2019 | SEX | MLE | 54.8 | 54.83266 | 2020-12-04T17:02:17.15+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Мали
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 63 | 61 | 59 | 56 | 53 |
| 1-4 года | 66 | 64 | 63 | 61 | 58 |
| 5-9 лет | 64 | 63 | 63 | 62 | 60 |
| 10-14 лет | 60 | 59 | 59 | 58 | 56 |
| 15-19 лет | 56 | 55 | 54 | 53 | 52 |
| 20-24 года | 51 | 50 | 50 | 49 | 47 |
| 25-29 лет | 46 | 46 | 45 | 44 | 43 |
| 30-34 года | 42 | 41 | 41 | 40 | 39 |
| 35-39 лет | 37 | 37 | 36 | 36 | 35 |
| 40-44 года | 33 | 32 | 32 | 32 | 31 |
| 45-49 лет | 29 | 28 | 28 | 28 | 27 |
| 50-54 года | 25 | 24 | 24 | 24 | 23 |
| 55-59 лет | 21 | 21 | 20 | 20 | 19 |
| 60-64 года | 17 | 17 | 17 | 17 | 16 |
| 65-69 лет | 14 | 14 | 14 | 13 | 13 |
| 70-74 года | 11 | 11 | 11 | 11 | 10 |
| 75-79 лет | 9 | 9 | 8 | 8 | 8 |
| 80-84 года | 7 | 6 | 6 | 6 | 6 |
| 85+ лет | 5 | 5 | 5 | 5 | 5 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1135363 | 24829400 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 57.86192817 | 57.86193 | 2020-12-06T12:24:01.74+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135362 | 24829399 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 52.63884211 | 52.63884 | 2020-12-06T12:24:01.723+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135380 | 24829417 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.591835749 | 4.59184 | 2020-12-06T12:24:02.113+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135379 | 24829416 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.092909872 | 6.09291 | 2020-12-06T12:24:02.097+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135378 | 24829415 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 7.998607353 | 7.99861 | 2020-12-06T12:24:02.083+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135377 | 24829414 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.24762255 | 10.24762 | 2020-12-06T12:24:02.05+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135376 | 24829413 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 12.98510998 | 12.98511 | 2020-12-06T12:24:02.037+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135375 | 24829412 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.01688366 | 16.01688 | 2020-12-06T12:24:02.003+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135374 | 24829411 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.38682173 | 19.38682 | 2020-12-06T12:24:01.99+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135373 | 24829410 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 22.95447196 | 22.95447 | 2020-12-06T12:24:01.973+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135371 | 24829408 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 30.66929438 | 30.66929 | 2020-12-06T12:24:01.91+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135372 | 24829409 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 26.74780821 | 26.74781 | 2020-12-06T12:24:01.94+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135364 | 24829401 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 59.98825823 | 59.98826 | 2020-12-06T12:24:01.77+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135365 | 24829402 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 56.30846071 | 56.30846 | 2020-12-06T12:24:01.787+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135366 | 24829403 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 51.88185979 | 51.88186 | 2020-12-06T12:24:01.817+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135367 | 24829404 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 47.37659695 | 47.3766 | 2020-12-06T12:24:01.83+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135368 | 24829405 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 43.02977879 | 43.02978 | 2020-12-06T12:24:01.847+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135369 | 24829406 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 38.8091533 | 38.80915 | 2020-12-06T12:24:01.88+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135370 | 24829407 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 34.68844349 | 34.68844 | 2020-12-06T12:24:01.893+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1135399 | 24829436 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.714704058 | 4.7147 | 2020-12-06T12:24:02.553+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135398 | 24829435 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.267789576 | 6.26779 | 2020-12-06T12:24:02.537+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135397 | 24829434 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.236884946 | 8.23688 | 2020-12-06T12:24:02.507+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135396 | 24829433 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.5676148 | 10.56761 | 2020-12-06T12:24:02.473+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135395 | 24829432 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.40212208 | 13.40212 | 2020-12-06T12:24:02.46+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135394 | 24829431 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.53878103 | 16.53878 | 2020-12-06T12:24:02.44+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135393 | 24829430 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.01380597 | 20.01381 | 2020-12-06T12:24:02.41+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135392 | 24829429 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 23.67981064 | 23.67981 | 2020-12-06T12:24:02.393+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135391 | 24829428 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 27.53906589 | 27.53907 | 2020-12-06T12:24:02.363+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135389 | 24829426 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 35.61627985 | 35.61628 | 2020-12-06T12:24:02.333+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135388 | 24829425 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 39.84289122 | 39.84289 | 2020-12-06T12:24:02.3+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135387 | 24829424 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 44.19381237 | 44.19381 | 2020-12-06T12:24:02.287+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135386 | 24829423 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 48.6938327 | 48.69383 | 2020-12-06T12:24:02.253+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135385 | 24829422 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 53.30090986 | 53.30091 | 2020-12-06T12:24:02.24+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135384 | 24829421 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 57.74863033 | 57.74863 | 2020-12-06T12:24:02.207+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135383 | 24829420 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 61.56511673 | 61.56512 | 2020-12-06T12:24:02.19+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135382 | 24829419 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 60.64628051 | 60.64628 | 2020-12-06T12:24:02.16+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135381 | 24829418 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 56.10880685 | 56.10881 | 2020-12-06T12:24:02.143+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135390 | 24829427 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 31.52367769 | 31.52368 | 2020-12-06T12:24:02.347+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1135409 | 24829446 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 32.20689496 | 32.20689 | 2020-12-06T12:24:02.833+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135410 | 24829447 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.10723231 | 28.10723 | 2020-12-06T12:24:02.867+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135411 | 24829448 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 24.14569823 | 24.1457 | 2020-12-06T12:24:02.88+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135412 | 24829449 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.39074046 | 20.39074 | 2020-12-06T12:24:02.913+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135413 | 24829450 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.84287071 | 16.84287 | 2020-12-06T12:24:02.927+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135414 | 24829451 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.64377544 | 13.64378 | 2020-12-06T12:24:02.96+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135415 | 24829452 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.75722474 | 10.75722 | 2020-12-06T12:24:02.99+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135416 | 24829453 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.378546341 | 8.37855 | 2020-12-06T12:24:03.007+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135417 | 24829454 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.369058367 | 6.36906 | 2020-12-06T12:24:03.037+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135418 | 24829455 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.785046092 | 4.78505 | 2020-12-06T12:24:03.07+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135407 | 24829444 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 40.76616708 | 40.76617 | 2020-12-06T12:24:02.77+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135406 | 24829443 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.20630894 | 45.20631 | 2020-12-06T12:24:02.757+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135405 | 24829442 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 49.74941868 | 49.74942 | 2020-12-06T12:24:02.723+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135404 | 24829441 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.37515374 | 54.37515 | 2020-12-06T12:24:02.71+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135403 | 24829440 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 58.84224888 | 58.84225 | 2020-12-06T12:24:02.677+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135402 | 24829439 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 62.78068836 | 62.78069 | 2020-12-06T12:24:02.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135401 | 24829438 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 62.95988425 | 62.95988 | 2020-12-06T12:24:02.63+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135400 | 24829437 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 59.04575207 | 59.04575 | 2020-12-06T12:24:02.583+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135408 | 24829445 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.42663265 | 36.42663 | 2020-12-06T12:24:02.803+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1135429 | 24829466 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.35805697 | 28.35806 | 2020-12-06T12:24:03.397+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135433 | 24829470 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.86133456 | 13.86133 | 2020-12-06T12:24:03.507+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135430 | 24829467 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 24.39623384 | 24.39623 | 2020-12-06T12:24:03.43+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135431 | 24829468 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.64053538 | 20.64054 | 2020-12-06T12:24:03.443+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135432 | 24829469 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 17.07955765 | 17.07956 | 2020-12-06T12:24:03.477+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135434 | 24829471 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.94667927 | 10.94668 | 2020-12-06T12:24:03.523+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135435 | 24829472 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.539149167 | 8.53915 | 2020-12-06T12:24:03.553+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135436 | 24829473 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.495935892 | 6.49594 | 2020-12-06T12:24:03.57+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135437 | 24829474 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.87951617 | 4.87952 | 2020-12-06T12:24:03.6+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135427 | 24829464 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.71170556 | 36.71171 | 2020-12-06T12:24:03.35+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135428 | 24829465 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 32.46662741 | 32.46663 | 2020-12-06T12:24:03.367+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135419 | 24829456 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 60.88688908 | 60.88689 | 2020-12-06T12:24:03.1+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135420 | 24829457 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 64.3584723 | 64.35847 | 2020-12-06T12:24:03.193+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135421 | 24829458 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 63.30146211 | 63.30146 | 2020-12-06T12:24:03.21+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135422 | 24829459 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 59.2473233 | 59.24732 | 2020-12-06T12:24:03.24+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135423 | 24829460 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.76371919 | 54.76372 | 2020-12-06T12:24:03.257+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135424 | 24829461 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 50.12632308 | 50.12632 | 2020-12-06T12:24:03.273+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135425 | 24829462 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.56602503 | 45.56603 | 2020-12-06T12:24:03.303+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135426 | 24829463 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 41.08905186 | 41.08905 | 2020-12-06T12:24:03.32+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1135456 | 24829493 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.983076176 | 4.98308 | 2020-12-06T12:24:04.103+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135455 | 24829492 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.650312349 | 6.65031 | 2020-12-06T12:24:04.073+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135454 | 24829491 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.752543099 | 8.75254 | 2020-12-06T12:24:04.043+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135453 | 24829490 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.21667694 | 11.21668 | 2020-12-06T12:24:04.027+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135452 | 24829489 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.18579366 | 14.18579 | 2020-12-06T12:24:03.997+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135451 | 24829488 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 17.46292225 | 17.46292 | 2020-12-06T12:24:03.98+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135450 | 24829487 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.09613132 | 21.09613 | 2020-12-06T12:24:03.95+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135449 | 24829486 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 24.93544115 | 24.93544 | 2020-12-06T12:24:03.93+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135448 | 24829485 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.98972805 | 28.98973 | 2020-12-06T12:24:03.9+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135447 | 24829484 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 33.17605261 | 33.17605 | 2020-12-06T12:24:03.867+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135446 | 24829483 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 37.4875338 | 37.48753 | 2020-12-06T12:24:03.837+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135445 | 24829482 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 41.9028034 | 41.9028 | 2020-12-06T12:24:03.82+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135444 | 24829481 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 46.39353145 | 46.39353 | 2020-12-06T12:24:03.79+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135443 | 24829480 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 50.95150452 | 50.9515 | 2020-12-06T12:24:03.773+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135442 | 24829479 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 55.59432944 | 55.59433 | 2020-12-06T12:24:03.743+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135441 | 24829478 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 60.09902421 | 60.09902 | 2020-12-06T12:24:03.71+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135440 | 24829477 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 64.23003999 | 64.23004 | 2020-12-06T12:24:03.697+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135439 | 24829476 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 65.8408938 | 65.84089 | 2020-12-06T12:24:03.663+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1135438 | 24829475 | LIFE_0000000035 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 62.79812666 | 62.79813 | 2020-12-06T12:24:03.633+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). Мали
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
| 1-4 года | 93'924 | 93'127 | 92'281 | 90'973 | 89'373 |
| 5-9 лет | 90'557 | 88'955 | 86'871 | 83'978 | 80'597 |
| 10-14 лет | 89'299 | 87'593 | 85'368 | 82'328 | 78'788 |
| 15-19 лет | 88'538 | 86'803 | 84'568 | 81'513 | 77'957 |
| 20-24 года | 87'946 | 86'205 | 83'962 | 80'888 | 77'184 |
| 25-29 лет | 87'151 | 85'416 | 83'158 | 80'021 | 76'077 |
| 30-34 года | 86'152 | 84'391 | 82'082 | 78'795 | 74'641 |
| 35-39 лет | 84'892 | 83'051 | 80'689 | 77'196 | 72'876 |
| 40-44 года | 83'254 | 81'258 | 78'875 | 75'137 | 70'721 |
| 45-49 лет | 81'102 | 78'911 | 76'555 | 72'597 | 68'114 |
| 50-54 года | 78'307 | 75'865 | 73'572 | 69'434 | 64'885 |
| 55-59 лет | 74'455 | 71'785 | 69'570 | 65'320 | 60'638 |
| 60-64 года | 69'357 | 66'509 | 64'347 | 60'088 | 55'300 |
| 65-69 лет | 62'196 | 59'266 | 57'169 | 53'047 | 48'271 |
| 70-74 года | 52'987 | 50'075 | 48'055 | 44'256 | 39'704 |
| 75-79 лет | 41'046 | 38'315 | 36'476 | 33'254 | 29'300 |
| 80-84 года | 28'047 | 25'722 | 24'177 | 21'759 | 18'749 |
| 85+ лет | 15'556 | 13'928 | 12'840 | 11'363 | 9'499 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1191005 | 24828545 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 89373.49529 | 89373.49529 | 2020-12-06T12:23:37.62+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191004 | 24828544 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:23:37.59+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191022 | 24828562 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 9498.843385 | 9498.84339 | 2020-12-06T12:23:38.107+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191021 | 24828561 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 18749.21429 | 18749.21429 | 2020-12-06T12:23:38.093+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191020 | 24828560 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 29300.20243 | 29300.20243 | 2020-12-06T12:23:38.06+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191019 | 24828559 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 39703.9632 | 39703.9632 | 2020-12-06T12:23:38.043+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191018 | 24828558 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 48271.41894 | 48271.41894 | 2020-12-06T12:23:38.01+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191017 | 24828557 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 55300.33773 | 55300.33773 | 2020-12-06T12:23:37.98+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191016 | 24828556 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 60638.4041 | 60638.4041 | 2020-12-06T12:23:37.95+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191015 | 24828555 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 64884.68355 | 64884.68355 | 2020-12-06T12:23:37.933+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191013 | 24828553 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 70721.44941 | 70721.44941 | 2020-12-06T12:23:37.87+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191014 | 24828554 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 68113.59378 | 68113.59378 | 2020-12-06T12:23:37.903+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191006 | 24828546 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 80597.30012 | 80597.30012 | 2020-12-06T12:23:37.65+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191007 | 24828547 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 78787.95578 | 78787.95578 | 2020-12-06T12:23:37.683+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191008 | 24828548 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 77957.22027 | 77957.22027 | 2020-12-06T12:23:37.713+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191009 | 24828549 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 77183.94512 | 77183.94512 | 2020-12-06T12:23:37.747+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191010 | 24828550 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 76076.64452 | 76076.64452 | 2020-12-06T12:23:37.777+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191011 | 24828551 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 74641.31619 | 74641.31619 | 2020-12-06T12:23:37.823+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191012 | 24828552 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 72876.48361 | 72876.48361 | 2020-12-06T12:23:37.84+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1191041 | 24828581 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 11363.11815 | 11363.11815 | 2020-12-06T12:23:38.613+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191040 | 24828580 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 21758.52259 | 21758.52259 | 2020-12-06T12:23:38.58+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191039 | 24828579 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 33253.96088 | 33253.96088 | 2020-12-06T12:23:38.55+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191038 | 24828578 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 44256.44518 | 44256.44518 | 2020-12-06T12:23:38.533+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191037 | 24828577 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 53047.11996 | 53047.11996 | 2020-12-06T12:23:38.5+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191036 | 24828576 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 60087.96461 | 60087.96461 | 2020-12-06T12:23:38.47+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191035 | 24828575 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 65319.98828 | 65319.98828 | 2020-12-06T12:23:38.453+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191034 | 24828574 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 69434.12136 | 69434.12136 | 2020-12-06T12:23:38.423+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191033 | 24828573 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 72597.44261 | 72597.44261 | 2020-12-06T12:23:38.407+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191031 | 24828571 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 77196.03861 | 77196.03861 | 2020-12-06T12:23:38.343+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191030 | 24828570 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 78794.80445 | 78794.80445 | 2020-12-06T12:23:38.33+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191029 | 24828569 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 80021.46227 | 80021.46227 | 2020-12-06T12:23:38.297+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191028 | 24828568 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 80887.57581 | 80887.57581 | 2020-12-06T12:23:38.283+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191027 | 24828567 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 81513.20588 | 81513.20588 | 2020-12-06T12:23:38.25+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191026 | 24828566 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 82328.03285 | 82328.03285 | 2020-12-06T12:23:38.22+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191025 | 24828565 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 83977.6757 | 83977.6757 | 2020-12-06T12:23:38.203+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191024 | 24828564 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 90973.4158 | 90973.4158 | 2020-12-06T12:23:38.17+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191023 | 24828563 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:23:38.14+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191032 | 24828572 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 75137.25123 | 75137.25123 | 2020-12-06T12:23:38.377+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1191051 | 24828591 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 78875.41171 | 78875.41171 | 2020-12-06T12:23:38.863+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191052 | 24828592 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 76555.22547 | 76555.22547 | 2020-12-06T12:23:38.897+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191053 | 24828593 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 73571.62971 | 73571.62971 | 2020-12-06T12:23:38.927+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191054 | 24828594 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 69570.02103 | 69570.02103 | 2020-12-06T12:23:38.94+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191055 | 24828595 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 64347.18034 | 64347.18034 | 2020-12-06T12:23:38.973+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191056 | 24828596 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 57168.98698 | 57168.98698 | 2020-12-06T12:23:38.99+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191057 | 24828597 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 48055.18241 | 48055.18241 | 2020-12-06T12:23:39.02+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191058 | 24828598 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 36475.68606 | 36475.68606 | 2020-12-06T12:23:39.05+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191059 | 24828599 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 24176.6377 | 24176.6377 | 2020-12-06T12:23:39.067+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191060 | 24828600 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 12840.114 | 12840.114 | 2020-12-06T12:23:39.1+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191049 | 24828589 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 82082.11106 | 82082.11106 | 2020-12-06T12:23:38.817+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191048 | 24828588 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 83158.16608 | 83158.16608 | 2020-12-06T12:23:38.787+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191047 | 24828587 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 83962.2851 | 83962.2851 | 2020-12-06T12:23:38.77+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191046 | 24828586 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 84568.04986 | 84568.04986 | 2020-12-06T12:23:38.74+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191045 | 24828585 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 85367.9243 | 85367.9243 | 2020-12-06T12:23:38.723+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191044 | 24828584 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 86871.27837 | 86871.27837 | 2020-12-06T12:23:38.69+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191043 | 24828583 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 92280.64543 | 92280.64543 | 2020-12-06T12:23:38.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191042 | 24828582 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:23:38.643+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191050 | 24828590 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 80689.42938 | 80689.42938 | 2020-12-06T12:23:38.85+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1191071 | 24828611 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 78910.71537 | 78910.71537 | 2020-12-06T12:23:39.463+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191075 | 24828615 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 59266.49758 | 59266.49758 | 2020-12-06T12:23:39.573+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191072 | 24828612 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 75864.81384 | 75864.81384 | 2020-12-06T12:23:39.493+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191073 | 24828613 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 71785.44823 | 71785.44823 | 2020-12-06T12:23:39.527+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191074 | 24828614 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 66509.49355 | 66509.49355 | 2020-12-06T12:23:39.54+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191076 | 24828616 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 50075.30067 | 50075.30067 | 2020-12-06T12:23:39.59+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191077 | 24828617 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 38315.45326 | 38315.45326 | 2020-12-06T12:23:39.62+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191078 | 24828618 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 25721.91937 | 25721.91937 | 2020-12-06T12:23:39.633+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191079 | 24828619 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 13928.16798 | 13928.16798 | 2020-12-06T12:23:39.667+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191069 | 24828609 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 83051.16123 | 83051.16123 | 2020-12-06T12:23:39.383+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191070 | 24828610 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 81258.10479 | 81258.10479 | 2020-12-06T12:23:39.417+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191061 | 24828601 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:23:39.113+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191062 | 24828602 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 93126.82413 | 93126.82413 | 2020-12-06T12:23:39.147+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191063 | 24828603 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 88955.35998 | 88955.35998 | 2020-12-06T12:23:39.177+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191064 | 24828604 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 87592.71916 | 87592.71916 | 2020-12-06T12:23:39.193+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191065 | 24828605 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 86802.82077 | 86802.82077 | 2020-12-06T12:23:39.223+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191066 | 24828606 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 86204.73526 | 86204.73526 | 2020-12-06T12:23:39.24+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191067 | 24828607 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 85416.14519 | 85416.14519 | 2020-12-06T12:23:39.29+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191068 | 24828608 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 84391.23335 | 84391.23335 | 2020-12-06T12:23:39.35+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1191098 | 24828638 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 15555.80211 | 15555.80211 | 2020-12-06T12:23:40.293+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191097 | 24828637 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 28047.34738 | 28047.34738 | 2020-12-06T12:23:40.26+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191096 | 24828636 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 41046.0168 | 41046.0168 | 2020-12-06T12:23:40.23+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191095 | 24828635 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 52987.17347 | 52987.17347 | 2020-12-06T12:23:40.197+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191094 | 24828634 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 62195.85604 | 62195.85604 | 2020-12-06T12:23:40.167+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191093 | 24828633 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 69357.25546 | 69357.25546 | 2020-12-06T12:23:40.137+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191092 | 24828632 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 74454.92152 | 74454.92152 | 2020-12-06T12:23:40.09+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191091 | 24828631 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 78306.82239 | 78306.82239 | 2020-12-06T12:23:40.073+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191090 | 24828630 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 81102.46408 | 81102.46408 | 2020-12-06T12:23:40.027+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191089 | 24828629 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 83253.6888 | 83253.6888 | 2020-12-06T12:23:39.98+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191088 | 24828628 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 84892.03608 | 84892.03608 | 2020-12-06T12:23:39.933+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191087 | 24828627 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 86151.81837 | 86151.81837 | 2020-12-06T12:23:39.9+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191086 | 24828626 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 87151.38946 | 87151.38946 | 2020-12-06T12:23:39.87+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191085 | 24828625 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 87946.47852 | 87946.47852 | 2020-12-06T12:23:39.823+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191084 | 24828624 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 88538.11026 | 88538.11026 | 2020-12-06T12:23:39.807+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191083 | 24828623 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 89299.46671 | 89299.46671 | 2020-12-06T12:23:39.777+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191082 | 24828622 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 90556.55041 | 90556.55041 | 2020-12-06T12:23:39.76+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191081 | 24828621 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 93924.38708 | 93924.38708 | 2020-12-06T12:23:39.73+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1191080 | 24828620 | LIFE_0000000031 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:23:39.713+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Мали: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Мали
| 2013 |
|---|
| 11.2 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1043566 | 11082905 | WHS9_CDR | COUNTRY | MLI | YEAR | 2013 | 11.2 | 11.2 | 2015-06-17T11:45:35.817+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. Мали
| 2015 |
|---|
| 232.34 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1043297 | 15728299 | MORTADO | COUNTRY | MLI | YEAR | 2015 | 232.3 | 232.34 | 2017-07-10T14:13:49.37+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). Мали
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 6'076 | 6'873 | 7'719 | 9'027 | 10'627 |
| 1-4 года | 3'368 | 4'171 | 5'409 | 6'996 | 8'776 |
| 5-9 лет | 1'257 | 1'363 | 1'503 | 1'650 | 1'809 |
| 10-14 лет | 761 | 790 | 800 | 815 | 831 |
| 15-19 лет | 592 | 598 | 606 | 626 | 773 |
| 20-24 года | 795 | 789 | 804 | 866 | 1'107 |
| 25-29 лет | 1'000 | 1'025 | 1'076 | 1'227 | 1'435 |
| 30-34 года | 1'260 | 1'340 | 1'393 | 1'599 | 1'765 |
| 35-39 лет | 1'638 | 1'793 | 1'814 | 2'059 | 2'155 |
| 40-44 года | 2'151 | 2'347 | 2'320 | 2'540 | 2'608 |
| 45-49 лет | 2'796 | 3'046 | 2'984 | 3'163 | 3'229 |
| 50-54 года | 3'852 | 4'079 | 4'002 | 4'114 | 4'246 |
| 55-59 лет | 5'098 | 5'276 | 5'223 | 5'232 | 5'338 |
| 60-64 года | 7'161 | 7'243 | 7'178 | 7'041 | 7'029 |
| 65-69 лет | 9'209 | 9'191 | 9'114 | 8'791 | 8'567 |
| 70-74 года | 11'941 | 11'760 | 11'579 | 11'002 | 10'404 |
| 75-79 лет | 12'999 | 12'594 | 12'299 | 11'495 | 10'551 |
| 80-84 года | 12'492 | 11'794 | 11'337 | 10'395 | 9'250 |
| 85+ лет | 15'556 | 13'928 | 12'840 | 11'363 | 9'499 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1067285 | 24827975 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 8776.195173 | 8776.19517 | 2020-12-06T12:23:22.31+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067284 | 24827974 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 10626.50471 | 10626.50471 | 2020-12-06T12:23:22.28+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067302 | 24827992 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 9498.843385 | 9498.84339 | 2020-12-06T12:23:22.81+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067301 | 24827991 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 9250.370901 | 9250.3709 | 2020-12-06T12:23:22.78+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067300 | 24827990 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 10550.98814 | 10550.98814 | 2020-12-06T12:23:22.747+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067299 | 24827989 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 10403.76077 | 10403.76077 | 2020-12-06T12:23:22.73+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067298 | 24827988 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 8567.455738 | 8567.45574 | 2020-12-06T12:23:22.7+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067297 | 24827987 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 7028.918792 | 7028.91879 | 2020-12-06T12:23:22.653+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067296 | 24827986 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 5338.066369 | 5338.06637 | 2020-12-06T12:23:22.637+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067295 | 24827985 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 4246.279449 | 4246.27945 | 2020-12-06T12:23:22.607+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067293 | 24827983 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 2607.85563 | 2607.85563 | 2020-12-06T12:23:22.543+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067294 | 24827984 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 3228.910233 | 3228.91023 | 2020-12-06T12:23:22.577+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067286 | 24827976 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 1809.344343 | 1809.34434 | 2020-12-06T12:23:22.34+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067287 | 24827977 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 830.7355047 | 830.7355 | 2020-12-06T12:23:22.373+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067288 | 24827978 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 773.2751533 | 773.27515 | 2020-12-06T12:23:22.403+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067289 | 24827979 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 1107.300599 | 1107.3006 | 2020-12-06T12:23:22.42+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067290 | 24827980 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 1435.328328 | 1435.32833 | 2020-12-06T12:23:22.45+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067291 | 24827981 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 1764.832582 | 1764.83258 | 2020-12-06T12:23:22.48+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067292 | 24827982 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 2155.034198 | 2155.0342 | 2020-12-06T12:23:22.513+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1067321 | 24828011 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 11363.11815 | 11363.11815 | 2020-12-06T12:23:23.33+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067320 | 24828010 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 10395.40444 | 10395.40444 | 2020-12-06T12:23:23.3+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067319 | 24828009 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 11495.43829 | 11495.43829 | 2020-12-06T12:23:23.283+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067318 | 24828008 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 11002.48431 | 11002.48431 | 2020-12-06T12:23:23.253+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067317 | 24828007 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 8790.674772 | 8790.67477 | 2020-12-06T12:23:23.237+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067316 | 24828006 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 7040.844655 | 7040.84466 | 2020-12-06T12:23:23.203+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067315 | 24828005 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 5232.023665 | 5232.02367 | 2020-12-06T12:23:23.19+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067314 | 24828004 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 4114.133086 | 4114.13309 | 2020-12-06T12:23:23.157+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067313 | 24828003 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 3163.321251 | 3163.32125 | 2020-12-06T12:23:23.143+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067311 | 24828001 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 2058.787387 | 2058.78739 | 2020-12-06T12:23:23.08+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067310 | 24828000 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 1598.765837 | 1598.76584 | 2020-12-06T12:23:23.063+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067309 | 24827999 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 1226.657817 | 1226.65782 | 2020-12-06T12:23:23.033+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067308 | 24827998 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 866.1135422 | 866.11354 | 2020-12-06T12:23:23+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067307 | 24827997 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 625.6300685 | 625.63007 | 2020-12-06T12:23:22.967+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067306 | 24827996 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 814.8269768 | 814.82698 | 2020-12-06T12:23:22.937+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067305 | 24827995 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 1649.642843 | 1649.64284 | 2020-12-06T12:23:22.92+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067304 | 24827994 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 6995.740107 | 6995.74011 | 2020-12-06T12:23:22.89+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067303 | 24827993 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 9026.584196 | 9026.5842 | 2020-12-06T12:23:22.843+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067312 | 24828002 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 2539.808613 | 2539.80861 | 2020-12-06T12:23:23.11+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1067331 | 24828021 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 2320.186238 | 2320.18624 | 2020-12-06T12:23:23.643+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067332 | 24828022 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 2983.595766 | 2983.59577 | 2020-12-06T12:23:23.673+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067333 | 24828023 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 4001.608675 | 4001.60868 | 2020-12-06T12:23:23.707+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067334 | 24828024 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 5222.840689 | 5222.84069 | 2020-12-06T12:23:23.737+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067335 | 24828025 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 7178.193359 | 7178.19336 | 2020-12-06T12:23:23.753+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067336 | 24828026 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 9113.804575 | 9113.80458 | 2020-12-06T12:23:23.783+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067337 | 24828027 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 11579.49635 | 11579.49635 | 2020-12-06T12:23:23.833+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067338 | 24828028 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 12299.04837 | 12299.04837 | 2020-12-06T12:23:23.863+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067339 | 24828029 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 11336.52369 | 11336.52369 | 2020-12-06T12:23:23.883+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067340 | 24828030 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 12840.114 | 12840.114 | 2020-12-06T12:23:23.913+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067329 | 24828019 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 1392.68168 | 1392.68168 | 2020-12-06T12:23:23.58+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067328 | 24828018 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 1076.055021 | 1076.05502 | 2020-12-06T12:23:23.55+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067327 | 24828017 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 804.1190181 | 804.11902 | 2020-12-06T12:23:23.52+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067326 | 24828016 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 605.7647564 | 605.76476 | 2020-12-06T12:23:23.487+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067325 | 24828015 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 799.8744401 | 799.87444 | 2020-12-06T12:23:23.44+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067324 | 24828014 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 1503.354069 | 1503.35407 | 2020-12-06T12:23:23.41+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067323 | 24828013 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 5409.367066 | 5409.36707 | 2020-12-06T12:23:23.377+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067322 | 24828012 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 7719.354565 | 7719.35457 | 2020-12-06T12:23:23.36+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067330 | 24828020 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 1814.017673 | 1814.01767 | 2020-12-06T12:23:23.613+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1067351 | 24828041 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 3045.901533 | 3045.90153 | 2020-12-06T12:23:24.227+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067355 | 24828045 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 9191.196904 | 9191.1969 | 2020-12-06T12:23:24.353+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067352 | 24828042 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 4079.365613 | 4079.36561 | 2020-12-06T12:23:24.26+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067353 | 24828043 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 5275.954677 | 5275.95468 | 2020-12-06T12:23:24.273+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067354 | 24828044 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 7242.995973 | 7242.99597 | 2020-12-06T12:23:24.307+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067356 | 24828046 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 11759.84741 | 11759.84741 | 2020-12-06T12:23:24.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067357 | 24828047 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 12593.5339 | 12593.5339 | 2020-12-06T12:23:24.43+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067358 | 24828048 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 11793.75139 | 11793.75139 | 2020-12-06T12:23:24.463+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067359 | 24828049 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 13928.16798 | 13928.16798 | 2020-12-06T12:23:24.493+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067349 | 24828039 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 1793.056441 | 1793.05644 | 2020-12-06T12:23:24.18+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067350 | 24828040 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 2347.389418 | 2347.38942 | 2020-12-06T12:23:24.21+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067341 | 24828031 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 6873.175868 | 6873.17587 | 2020-12-06T12:23:23.96+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067342 | 24828032 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 4171.464153 | 4171.46415 | 2020-12-06T12:23:23.993+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067343 | 24828033 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 1362.640816 | 1362.64082 | 2020-12-06T12:23:24.023+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067344 | 24828034 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 789.8983957 | 789.8984 | 2020-12-06T12:23:24.057+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067345 | 24828035 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 598.0855056 | 598.08551 | 2020-12-06T12:23:24.07+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067346 | 24828036 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 788.5900675 | 788.59007 | 2020-12-06T12:23:24.103+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067347 | 24828037 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 1024.911844 | 1024.91184 | 2020-12-06T12:23:24.133+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067348 | 24828038 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 1340.07212 | 1340.07212 | 2020-12-06T12:23:24.15+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1067378 | 24828068 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 15555.80211 | 15555.80211 | 2020-12-06T12:23:24.993+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067377 | 24828067 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 12491.54527 | 12491.54527 | 2020-12-06T12:23:24.98+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067376 | 24828066 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 12998.66942 | 12998.66942 | 2020-12-06T12:23:24.947+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067375 | 24828065 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 11941.15667 | 11941.15667 | 2020-12-06T12:23:24.917+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067374 | 24828064 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 9208.682572 | 9208.68257 | 2020-12-06T12:23:24.9+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067373 | 24828063 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 7161.399418 | 7161.39942 | 2020-12-06T12:23:24.87+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067372 | 24828062 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 5097.666058 | 5097.66606 | 2020-12-06T12:23:24.837+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067371 | 24828061 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 3851.900868 | 3851.90087 | 2020-12-06T12:23:24.823+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067370 | 24828060 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 2795.641692 | 2795.64169 | 2020-12-06T12:23:24.79+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067369 | 24828059 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 2151.22472 | 2151.22472 | 2020-12-06T12:23:24.76+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067368 | 24828058 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 1638.347279 | 1638.34728 | 2020-12-06T12:23:24.713+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067367 | 24828057 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 1259.782297 | 1259.7823 | 2020-12-06T12:23:24.697+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067366 | 24828056 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 999.5710839 | 999.57108 | 2020-12-06T12:23:24.667+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067365 | 24828055 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 795.0890565 | 795.08906 | 2020-12-06T12:23:24.65+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067364 | 24828054 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 591.6317412 | 591.63174 | 2020-12-06T12:23:24.62+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067363 | 24828053 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 761.3564536 | 761.35645 | 2020-12-06T12:23:24.587+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067362 | 24828052 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 1257.083705 | 1257.08371 | 2020-12-06T12:23:24.57+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067361 | 24828051 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 3367.836662 | 3367.83666 | 2020-12-06T12:23:24.54+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1067360 | 24828050 | LIFE_0000000032 | COUNTRY | MLI | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 6075.612923 | 6075.61292 | 2020-12-06T12:23:24.51+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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