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.
Мьянма: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Мьянма
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 65.9 | 64.3 | 61.6 | 57.3 |
Женщины | 72.2 | 70.7 | 67.9 | 62.7 |
Оба пола | 69.1 | 67.6 | 64.8 | 60.0 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1106079 | 24619625 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | 60.0 | 59.994 | 2020-12-04T17:02:20.597+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106080 | 24619629 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | 64.8 | 64.78619 | 2020-12-04T17:02:20.707+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106081 | 24619633 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | 67.6 | 67.57671 | 2020-12-04T17:02:20.817+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106082 | 24619637 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | 69.1 | 69.1335 | 2020-12-04T17:02:20.91+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106075 | 24619609 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2000 | SEX | FMLE | 62.7 | 62.67123 | 2020-12-04T17:02:20+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106076 | 24619613 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2010 | SEX | FMLE | 67.9 | 67.87344 | 2020-12-04T17:02:20.157+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106077 | 24619617 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2015 | SEX | FMLE | 70.7 | 70.70499 | 2020-12-04T17:02:20.267+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106078 | 24619621 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2019 | SEX | FMLE | 72.2 | 72.20418 | 2020-12-04T17:02:20.407+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106071 | 24619593 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2000 | SEX | MLE | 57.3 | 57.31408 | 2020-12-04T17:02:19.483+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106072 | 24619597 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2010 | SEX | MLE | 61.6 | 61.62328 | 2020-12-04T17:02:19.64+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106073 | 24619601 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2015 | SEX | MLE | 64.3 | 64.32043 | 2020-12-04T17:02:19.767+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106074 | 24619605 | WHOSIS_000001 | COUNTRY | MMR | YEAR | 2019 | SEX | MLE | 65.9 | 65.90776 | 2020-12-04T17:02:19.86+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. Мьянма
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 58.8 | 57.5 | 55.2 | 51.2 |
Женщины | 62.8 | 61.5 | 59.1 | 54.7 |
Оба пола | 60.9 | 59.6 | 57.2 | 52.9 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1108407 | 24619626 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | 52.9 | 52.94595 | 2020-12-04T17:02:20.643+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108408 | 24619630 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | 57.2 | 57.19595 | 2020-12-04T17:02:20.737+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108409 | 24619634 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | 59.6 | 59.56367 | 2020-12-04T17:02:20.83+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108410 | 24619638 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | 60.9 | 60.85162 | 2020-12-04T17:02:20.94+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108403 | 24619610 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2000 | SEX | FMLE | 54.7 | 54.73655 | 2020-12-04T17:02:20.063+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108404 | 24619614 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2010 | SEX | FMLE | 59.1 | 59.14737 | 2020-12-04T17:02:20.19+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108405 | 24619618 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2015 | SEX | FMLE | 61.5 | 61.54079 | 2020-12-04T17:02:20.343+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108406 | 24619622 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2019 | SEX | FMLE | 62.8 | 62.77342 | 2020-12-04T17:02:20.487+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108399 | 24619594 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2000 | SEX | MLE | 51.2 | 51.16089 | 2020-12-04T17:02:19.547+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108400 | 24619598 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2010 | SEX | MLE | 55.2 | 55.2005 | 2020-12-04T17:02:19.673+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108401 | 24619602 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2015 | SEX | MLE | 57.5 | 57.50628 | 2020-12-04T17:02:19.797+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108402 | 24619606 | WHOSIS_000002 | COUNTRY | MMR | YEAR | 2019 | SEX | MLE | 58.8 | 58.83085 | 2020-12-04T17:02:19.89+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Мьянма
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 69 | 68 | 65 | 62 | 60 |
1-4 года | 71 | 69 | 67 | 65 | 63 |
5-9 лет | 67 | 66 | 64 | 62 | 61 |
10-14 лет | 62 | 61 | 60 | 58 | 57 |
15-19 лет | 58 | 57 | 55 | 53 | 52 |
20-24 года | 53 | 52 | 50 | 48 | 47 |
25-29 лет | 48 | 47 | 46 | 44 | 43 |
30-34 года | 44 | 43 | 41 | 39 | 38 |
35-39 лет | 39 | 38 | 37 | 35 | 34 |
40-44 года | 34 | 34 | 32 | 31 | 30 |
45-49 лет | 30 | 29 | 28 | 27 | 26 |
50-54 года | 26 | 25 | 24 | 23 | 22 |
55-59 лет | 22 | 21 | 21 | 19 | 19 |
60-64 года | 18 | 18 | 17 | 16 | 15 |
65-69 лет | 15 | 14 | 14 | 13 | 13 |
70-74 года | 12 | 11 | 11 | 10 | 10 |
75-79 лет | 9 | 9 | 9 | 8 | 8 |
80-84 года | 7 | 7 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1132513 | 24809450 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 63.04139794 | 63.0414 | 2020-12-06T12:14:50.703+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132512 | 24809449 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 59.99399739 | 59.994 | 2020-12-06T12:14:50.67+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132530 | 24809467 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.547710209 | 4.54771 | 2020-12-06T12:14:51.14+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132529 | 24809466 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 5.984177248 | 5.98418 | 2020-12-06T12:14:51.11+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132528 | 24809465 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 7.836945918 | 7.83695 | 2020-12-06T12:14:51.093+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132527 | 24809464 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.00231501 | 10.00232 | 2020-12-06T12:14:51.08+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132526 | 24809463 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 12.5736419 | 12.57364 | 2020-12-06T12:14:51.047+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132525 | 24809462 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 15.43321799 | 15.43322 | 2020-12-06T12:14:51.017+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132524 | 24809461 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 18.65325609 | 18.65326 | 2020-12-06T12:14:51+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132523 | 24809460 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 22.14930519 | 22.14931 | 2020-12-06T12:14:50.97+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132521 | 24809458 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 29.98567177 | 29.98567 | 2020-12-06T12:14:50.92+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132522 | 24809459 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 25.97336129 | 25.97336 | 2020-12-06T12:14:50.937+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132514 | 24809451 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 60.66541764 | 60.66542 | 2020-12-06T12:14:50.733+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132515 | 24809452 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 56.52909796 | 56.5291 | 2020-12-06T12:14:50.767+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132516 | 24809453 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 51.85188098 | 51.85188 | 2020-12-06T12:14:50.797+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132517 | 24809454 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 47.29154922 | 47.29155 | 2020-12-06T12:14:50.813+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132518 | 24809455 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 42.86342106 | 42.86342 | 2020-12-06T12:14:50.843+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132519 | 24809456 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 38.49652898 | 38.49653 | 2020-12-06T12:14:50.877+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132520 | 24809457 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 34.19034413 | 34.19034 | 2020-12-06T12:14:50.89+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1132549 | 24809486 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.668947125 | 4.66895 | 2020-12-06T12:14:51.733+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132548 | 24809485 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.165373417 | 6.16537 | 2020-12-06T12:14:51.72+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132547 | 24809484 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.116676603 | 8.11668 | 2020-12-06T12:14:51.687+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132546 | 24809483 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.3796845 | 10.37968 | 2020-12-06T12:14:51.657+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132545 | 24809482 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.0657334 | 13.06573 | 2020-12-06T12:14:51.627+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132544 | 24809481 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.03981165 | 16.03981 | 2020-12-06T12:14:51.593+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132543 | 24809480 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.38330923 | 19.38331 | 2020-12-06T12:14:51.563+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132542 | 24809479 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 22.99588256 | 22.99588 | 2020-12-06T12:14:51.547+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132541 | 24809478 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 26.88528454 | 26.88528 | 2020-12-06T12:14:51.517+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132539 | 24809476 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 35.15943771 | 35.15944 | 2020-12-06T12:14:51.407+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132538 | 24809475 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 39.47538496 | 39.47538 | 2020-12-06T12:14:51.377+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132537 | 24809474 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 43.87286261 | 43.87286 | 2020-12-06T12:14:51.36+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132536 | 24809473 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 48.35016275 | 48.35016 | 2020-12-06T12:14:51.33+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132535 | 24809472 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 52.95918674 | 52.95919 | 2020-12-06T12:14:51.28+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132534 | 24809471 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 57.68007554 | 57.68008 | 2020-12-06T12:14:51.25+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132533 | 24809470 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 62.04292443 | 62.04292 | 2020-12-06T12:14:51.203+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132532 | 24809469 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 64.71503911 | 64.71504 | 2020-12-06T12:14:51.187+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132531 | 24809468 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 62.03337231 | 62.03337 | 2020-12-06T12:14:51.157+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132540 | 24809477 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 30.93493145 | 30.93493 | 2020-12-06T12:14:51.453+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1132559 | 24809496 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 32.44112762 | 32.44113 | 2020-12-06T12:14:52.03+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132560 | 24809497 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.28529906 | 28.2853 | 2020-12-06T12:14:52.063+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132561 | 24809498 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 24.27010232 | 24.2701 | 2020-12-06T12:14:52.093+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132562 | 24809499 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.50662866 | 20.50663 | 2020-12-06T12:14:52.127+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132563 | 24809500 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.97136042 | 16.97136 | 2020-12-06T12:14:52.14+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132564 | 24809501 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.80988992 | 13.80989 | 2020-12-06T12:14:52.173+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132565 | 24809502 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.9589193 | 10.95892 | 2020-12-06T12:14:52.203+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132566 | 24809503 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.542723763 | 8.54272 | 2020-12-06T12:14:52.237+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132567 | 24809504 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.472907275 | 6.47291 | 2020-12-06T12:14:52.267+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132568 | 24809505 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.863374406 | 4.86337 | 2020-12-06T12:14:52.3+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132557 | 24809494 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 41.14720683 | 41.14721 | 2020-12-06T12:14:51.97+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132556 | 24809493 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.63186663 | 45.63187 | 2020-12-06T12:14:51.937+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132555 | 24809492 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 50.18799983 | 50.188 | 2020-12-06T12:14:51.907+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132554 | 24809491 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.85023787 | 54.85024 | 2020-12-06T12:14:51.89+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132553 | 24809490 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 59.63373384 | 59.63373 | 2020-12-06T12:14:51.86+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132552 | 24809489 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 64.23837852 | 64.23838 | 2020-12-06T12:14:51.83+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132551 | 24809488 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 67.21109482 | 67.21109 | 2020-12-06T12:14:51.78+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132550 | 24809487 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 64.78618783 | 64.78619 | 2020-12-06T12:14:51.767+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132558 | 24809495 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.74937024 | 36.74937 | 2020-12-06T12:14:52+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132579 | 24809516 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 29.44565579 | 29.44566 | 2020-12-06T12:14:52.753+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132583 | 24809520 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.33554119 | 14.33554 | 2020-12-06T12:14:52.85+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132580 | 24809517 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.28569535 | 25.2857 | 2020-12-06T12:14:52.787+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132581 | 24809518 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.36885476 | 21.36885 | 2020-12-06T12:14:52.8+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132582 | 24809519 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 17.68015316 | 17.68015 | 2020-12-06T12:14:52.833+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132584 | 24809521 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.32667653 | 11.32668 | 2020-12-06T12:14:52.88+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132585 | 24809522 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.777932987 | 8.77793 | 2020-12-06T12:14:52.897+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132586 | 24809523 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.614012573 | 6.61401 | 2020-12-06T12:14:52.927+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132587 | 24809524 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.914864353 | 4.91486 | 2020-12-06T12:14:52.943+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132577 | 24809514 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 38.18516258 | 38.18516 | 2020-12-06T12:14:52.707+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132578 | 24809515 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 33.74821875 | 33.74822 | 2020-12-06T12:14:52.74+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132569 | 24809506 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 67.57671122 | 67.57671 | 2020-12-06T12:14:52.33+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132570 | 24809507 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 69.45608822 | 69.45609 | 2020-12-06T12:14:52.347+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132571 | 24809508 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 66.25716416 | 66.25716 | 2020-12-06T12:14:52.377+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132572 | 24809509 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 61.47139951 | 61.4714 | 2020-12-06T12:14:52.393+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132573 | 24809510 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 56.63278015 | 56.63278 | 2020-12-06T12:14:52.423+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132574 | 24809511 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 51.92277001 | 51.92277 | 2020-12-06T12:14:52.47+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132575 | 24809512 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 47.29848996 | 47.29849 | 2020-12-06T12:14:52.503+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132576 | 24809513 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 42.70768164 | 42.70768 | 2020-12-06T12:14:52.55+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132606 | 24809543 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.872448299 | 4.87245 | 2020-12-06T12:14:53.417+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132605 | 24809542 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.630403821 | 6.6304 | 2020-12-06T12:14:53.383+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132604 | 24809541 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.867203351 | 8.8672 | 2020-12-06T12:14:53.37+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132603 | 24809540 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.51573899 | 11.51574 | 2020-12-06T12:14:53.337+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132602 | 24809539 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.6323889 | 14.63239 | 2020-12-06T12:14:53.32+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132601 | 24809538 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.06277772 | 18.06278 | 2020-12-06T12:14:53.29+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132600 | 24809537 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.82608939 | 21.82609 | 2020-12-06T12:14:53.273+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132599 | 24809536 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.82419272 | 25.82419 | 2020-12-06T12:14:53.26+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132598 | 24809535 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.05906345 | 30.05906 | 2020-12-06T12:14:53.227+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132597 | 24809534 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.45327411 | 34.45327 | 2020-12-06T12:14:53.21+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132596 | 24809533 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 38.97745159 | 38.97745 | 2020-12-06T12:14:53.18+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132595 | 24809532 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 43.58340402 | 43.5834 | 2020-12-06T12:14:53.163+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132594 | 24809531 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 48.23436571 | 48.23437 | 2020-12-06T12:14:53.147+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132593 | 24809530 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 52.89507806 | 52.89508 | 2020-12-06T12:14:53.117+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132592 | 24809529 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 57.62786416 | 57.62786 | 2020-12-06T12:14:53.087+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132591 | 24809528 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 62.48716624 | 62.48717 | 2020-12-06T12:14:53.04+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132590 | 24809527 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 67.32492577 | 67.32493 | 2020-12-06T12:14:53.023+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132589 | 24809526 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 70.66084884 | 70.66085 | 2020-12-06T12:14:52.99+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132588 | 24809525 | LIFE_0000000035 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 69.13349687 | 69.1335 | 2020-12-06T12:14:52.973+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). Мьянма
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
1-4 года | 96'458 | 95'896 | 94'957 | 94'372 | 93'650 |
5-9 лет | 95'540 | 94'777 | 93'493 | 92'427 | 91'239 |
10-14 лет | 95'301 | 94'459 | 92'898 | 91'449 | 89'904 |
15-19 лет | 95'078 | 94'202 | 92'547 | 90'988 | 89'370 |
20-24 года | 94'620 | 93'700 | 91'954 | 90'289 | 88'581 |
25-29 лет | 93'987 | 92'993 | 91'106 | 89'271 | 87'464 |
30-34 года | 93'275 | 92'151 | 90'030 | 87'990 | 86'113 |
35-39 лет | 92'389 | 91'070 | 88'649 | 86'391 | 84'485 |
40-44 года | 91'199 | 89'655 | 86'894 | 84'388 | 82'416 |
45-49 лет | 89'502 | 87'698 | 84'511 | 81'659 | 79'558 |
50-54 года | 87'085 | 85'046 | 81'402 | 78'101 | 75'762 |
55-59 лет | 83'498 | 81'187 | 77'027 | 73'150 | 70'376 |
60-64 года | 78'476 | 75'911 | 71'233 | 66'614 | 63'390 |
65-69 лет | 71'286 | 68'447 | 63'203 | 57'944 | 54'389 |
70-74 года | 61'707 | 58'590 | 53'111 | 47'534 | 43'824 |
75-79 лет | 48'942 | 45'856 | 40'684 | 35'280 | 31'806 |
80-84 года | 34'131 | 31'586 | 27'398 | 22'867 | 20'008 |
85+ лет | 19'122 | 17'525 | 14'783 | 11'692 | 9'891 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1188155 | 24808595 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 93650.2796 | 93650.2796 | 2020-12-06T12:14:27.483+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188154 | 24808594 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:14:27.47+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188172 | 24808612 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 9891.149126 | 9891.14913 | 2020-12-06T12:14:27.923+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188171 | 24808611 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 20007.57932 | 20007.57932 | 2020-12-06T12:14:27.877+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188170 | 24808610 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 31806.17753 | 31806.17753 | 2020-12-06T12:14:27.86+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188169 | 24808609 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 43823.63796 | 43823.63796 | 2020-12-06T12:14:27.83+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188168 | 24808608 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 54389.16054 | 54389.16054 | 2020-12-06T12:14:27.797+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188167 | 24808607 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 63390.46707 | 63390.46707 | 2020-12-06T12:14:27.78+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188166 | 24808606 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 70375.5985 | 70375.5985 | 2020-12-06T12:14:27.75+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188165 | 24808605 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 75762.12203 | 75762.12203 | 2020-12-06T12:14:27.737+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188163 | 24808603 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 82416.45152 | 82416.45152 | 2020-12-06T12:14:27.69+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188164 | 24808604 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 79557.57357 | 79557.57357 | 2020-12-06T12:14:27.703+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188156 | 24808596 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 91238.65839 | 91238.65839 | 2020-12-06T12:14:27.517+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188157 | 24808597 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 89903.70602 | 89903.70602 | 2020-12-06T12:14:27.53+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188158 | 24808598 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 89369.7891 | 89369.7891 | 2020-12-06T12:14:27.563+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188159 | 24808599 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 88580.63795 | 88580.63795 | 2020-12-06T12:14:27.593+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188160 | 24808600 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 87463.9503 | 87463.9503 | 2020-12-06T12:14:27.61+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188161 | 24808601 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 86113.24766 | 86113.24766 | 2020-12-06T12:14:27.627+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188162 | 24808602 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 84484.8444 | 84484.8444 | 2020-12-06T12:14:27.657+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1188191 | 24808631 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 11691.70276 | 11691.70276 | 2020-12-06T12:14:28.49+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188190 | 24808630 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 22867.30147 | 22867.30147 | 2020-12-06T12:14:28.473+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188189 | 24808629 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 35279.5292 | 35279.5292 | 2020-12-06T12:14:28.41+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188188 | 24808628 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 47533.80068 | 47533.80068 | 2020-12-06T12:14:28.363+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188187 | 24808627 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 57943.95264 | 57943.95264 | 2020-12-06T12:14:28.347+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188186 | 24808626 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 66613.93394 | 66613.93394 | 2020-12-06T12:14:28.317+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188185 | 24808625 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 73149.74638 | 73149.74638 | 2020-12-06T12:14:28.3+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188184 | 24808624 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 78101.46823 | 78101.46823 | 2020-12-06T12:14:28.27+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188183 | 24808623 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 81658.50425 | 81658.50425 | 2020-12-06T12:14:28.253+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188181 | 24808621 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 86391.47107 | 86391.47107 | 2020-12-06T12:14:28.19+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188180 | 24808620 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 87989.73229 | 87989.73229 | 2020-12-06T12:14:28.173+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188179 | 24808619 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 89271.14663 | 89271.14663 | 2020-12-06T12:14:28.143+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188178 | 24808618 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 90288.8533 | 90288.8533 | 2020-12-06T12:14:28.11+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188177 | 24808617 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 90988.44395 | 90988.44395 | 2020-12-06T12:14:28.097+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188176 | 24808616 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 91448.68061 | 91448.68061 | 2020-12-06T12:14:28.067+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188175 | 24808615 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 92427.24573 | 92427.24573 | 2020-12-06T12:14:28.033+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188174 | 24808614 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 94371.83429 | 94371.83429 | 2020-12-06T12:14:28.02+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188173 | 24808613 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:14:27.987+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188182 | 24808622 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 84387.69711 | 84387.69711 | 2020-12-06T12:14:28.22+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1188201 | 24808641 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 86894.08716 | 86894.08716 | 2020-12-06T12:14:28.823+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188202 | 24808642 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 84511.34252 | 84511.34252 | 2020-12-06T12:14:28.853+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188203 | 24808643 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 81402.38743 | 81402.38743 | 2020-12-06T12:14:28.917+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188204 | 24808644 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 77027.29199 | 77027.29199 | 2020-12-06T12:14:28.947+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188205 | 24808645 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 71232.9192 | 71232.9192 | 2020-12-06T12:14:28.98+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188206 | 24808646 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 63203.2008 | 63203.2008 | 2020-12-06T12:14:29.01+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188207 | 24808647 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 53111.34036 | 53111.34036 | 2020-12-06T12:14:29.027+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188208 | 24808648 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 40684.21448 | 40684.21448 | 2020-12-06T12:14:29.057+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188209 | 24808649 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 27398.4186 | 27398.4186 | 2020-12-06T12:14:29.073+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188210 | 24808650 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 14782.8116 | 14782.8116 | 2020-12-06T12:14:29.103+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188199 | 24808639 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 90030.39028 | 90030.39028 | 2020-12-06T12:14:28.727+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188198 | 24808638 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 91106.07477 | 91106.07477 | 2020-12-06T12:14:28.693+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188197 | 24808637 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 91954.06508 | 91954.06508 | 2020-12-06T12:14:28.663+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188196 | 24808636 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 92547.34958 | 92547.34958 | 2020-12-06T12:14:28.633+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188195 | 24808635 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 92898.05088 | 92898.05088 | 2020-12-06T12:14:28.617+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188194 | 24808634 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 93492.94403 | 93492.94403 | 2020-12-06T12:14:28.57+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188193 | 24808633 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 94956.77842 | 94956.77842 | 2020-12-06T12:14:28.553+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188192 | 24808632 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:14:28.52+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188200 | 24808640 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 88649.14503 | 88649.14503 | 2020-12-06T12:14:28.79+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1188221 | 24808661 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 87697.61954 | 87697.61954 | 2020-12-06T12:14:29.453+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188225 | 24808665 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 68447.27344 | 68447.27344 | 2020-12-06T12:14:29.563+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188222 | 24808662 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 85046.27436 | 85046.27436 | 2020-12-06T12:14:29.487+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188223 | 24808663 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 81186.90728 | 81186.90728 | 2020-12-06T12:14:29.517+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188224 | 24808664 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 75911.41406 | 75911.41406 | 2020-12-06T12:14:29.53+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188226 | 24808666 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 58590.40115 | 58590.40115 | 2020-12-06T12:14:29.593+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188227 | 24808667 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 45855.78929 | 45855.78929 | 2020-12-06T12:14:29.627+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188228 | 24808668 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 31586.4796 | 31586.4796 | 2020-12-06T12:14:29.64+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188229 | 24808669 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 17525.22609 | 17525.22609 | 2020-12-06T12:14:29.673+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188219 | 24808659 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 91069.58073 | 91069.58073 | 2020-12-06T12:14:29.39+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188220 | 24808660 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 89654.96531 | 89654.96531 | 2020-12-06T12:14:29.423+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188211 | 24808651 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:14:29.137+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188212 | 24808652 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 95895.75605 | 95895.75605 | 2020-12-06T12:14:29.15+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188213 | 24808653 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 94776.86652 | 94776.86652 | 2020-12-06T12:14:29.183+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188214 | 24808654 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 94459.466 | 94459.466 | 2020-12-06T12:14:29.25+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188215 | 24808655 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 94201.67449 | 94201.67449 | 2020-12-06T12:14:29.28+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188216 | 24808656 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 93699.7241 | 93699.7241 | 2020-12-06T12:14:29.313+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188217 | 24808657 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 92992.77784 | 92992.77784 | 2020-12-06T12:14:29.343+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188218 | 24808658 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 92151.06534 | 92151.06534 | 2020-12-06T12:14:29.377+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1188248 | 24808688 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 19121.59902 | 19121.59902 | 2020-12-06T12:14:30.147+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188247 | 24808687 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 34130.56114 | 34130.56114 | 2020-12-06T12:14:30.13+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188246 | 24808686 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 48942.33601 | 48942.33601 | 2020-12-06T12:14:30.1+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188245 | 24808685 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 61707.36378 | 61707.36378 | 2020-12-06T12:14:30.067+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188244 | 24808684 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 71286.39811 | 71286.39811 | 2020-12-06T12:14:30.037+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188243 | 24808683 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 78476.11249 | 78476.11249 | 2020-12-06T12:14:30.02+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188242 | 24808682 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 83497.84715 | 83497.84715 | 2020-12-06T12:14:29.99+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188241 | 24808681 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 87084.51856 | 87084.51856 | 2020-12-06T12:14:29.973+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188240 | 24808680 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 89502.26814 | 89502.26814 | 2020-12-06T12:14:29.943+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188239 | 24808679 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 91199.10583 | 91199.10583 | 2020-12-06T12:14:29.927+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188238 | 24808678 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 92388.73356 | 92388.73356 | 2020-12-06T12:14:29.91+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188237 | 24808677 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 93274.87133 | 93274.87133 | 2020-12-06T12:14:29.88+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188236 | 24808676 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 93986.73216 | 93986.73216 | 2020-12-06T12:14:29.847+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188235 | 24808675 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 94619.50304 | 94619.50304 | 2020-12-06T12:14:29.833+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188234 | 24808674 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 95078.13946 | 95078.13946 | 2020-12-06T12:14:29.8+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188233 | 24808673 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 95301.14209 | 95301.14209 | 2020-12-06T12:14:29.787+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188232 | 24808672 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 95539.65687 | 95539.65687 | 2020-12-06T12:14:29.753+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188231 | 24808671 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 96458.34934 | 96458.34934 | 2020-12-06T12:14:29.737+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1188230 | 24808670 | LIFE_0000000031 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:14:29.703+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Мьянма: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Мьянма
2013 |
---|
8.4 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043568 | 11082907 | WHS9_CDR | COUNTRY | MMR | YEAR | 2013 | 8.4 | 8.4 | 2015-06-17T11:45:35.95+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. Мьянма
2015 |
---|
112.24 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043307 | 15728309 | MORTADO | COUNTRY | MMR | YEAR | 2015 | 112.2 | 112.24 | 2017-07-10T14:13:49.613+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). Мьянма
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 3'542 | 4'104 | 5'043 | 5'628 | 6'350 |
1-4 года | 919 | 1'119 | 1'464 | 1'945 | 2'412 |
5-9 лет | 239 | 317 | 595 | 979 | 1'335 |
10-14 лет | 223 | 258 | 351 | 460 | 534 |
15-19 лет | 459 | 502 | 593 | 700 | 789 |
20-24 года | 633 | 707 | 848 | 1'018 | 1'117 |
25-29 лет | 712 | 842 | 1'076 | 1'281 | 1'351 |
30-34 года | 886 | 1'081 | 1'381 | 1'598 | 1'628 |
35-39 лет | 1'190 | 1'415 | 1'755 | 2'004 | 2'068 |
40-44 года | 1'697 | 1'957 | 2'383 | 2'729 | 2'859 |
45-49 лет | 2'418 | 2'651 | 3'109 | 3'557 | 3'795 |
50-54 года | 3'587 | 3'859 | 4'375 | 4'952 | 5'387 |
55-59 лет | 5'022 | 5'275 | 5'794 | 6'536 | 6'985 |
60-64 года | 7'190 | 7'464 | 8'030 | 8'670 | 9'001 |
65-69 лет | 9'579 | 9'857 | 10'092 | 10'410 | 10'566 |
70-74 года | 12'765 | 12'735 | 12'427 | 12'254 | 12'017 |
75-79 лет | 14'812 | 14'269 | 13'286 | 12'412 | 11'799 |
80-84 года | 15'009 | 14'061 | 12'616 | 11'176 | 10'116 |
85+ лет | 19'122 | 17'525 | 14'783 | 11'692 | 9'891 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1064435 | 24808025 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 2411.621206 | 2411.62121 | 2020-12-06T12:14:12.54+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064434 | 24808024 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 6349.720401 | 6349.7204 | 2020-12-06T12:14:12.51+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064452 | 24808042 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 9891.149126 | 9891.14913 | 2020-12-06T12:14:12.997+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064451 | 24808041 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 10116.4302 | 10116.4302 | 2020-12-06T12:14:12.963+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064450 | 24808040 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 11798.5982 | 11798.5982 | 2020-12-06T12:14:12.947+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064449 | 24808039 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 12017.46044 | 12017.46044 | 2020-12-06T12:14:12.917+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064448 | 24808038 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 10565.52258 | 10565.52258 | 2020-12-06T12:14:12.9+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064447 | 24808037 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 9001.306536 | 9001.30654 | 2020-12-06T12:14:12.87+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064446 | 24808036 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 6985.131423 | 6985.13142 | 2020-12-06T12:14:12.837+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064445 | 24808035 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 5386.523529 | 5386.52353 | 2020-12-06T12:14:12.823+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064443 | 24808033 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 2858.877949 | 2858.87795 | 2020-12-06T12:14:12.76+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064444 | 24808034 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 3795.451542 | 3795.45154 | 2020-12-06T12:14:12.79+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064436 | 24808026 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 1334.95237 | 1334.95237 | 2020-12-06T12:14:12.553+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064437 | 24808027 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 533.916928 | 533.91693 | 2020-12-06T12:14:12.587+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064438 | 24808028 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 789.1511487 | 789.15115 | 2020-12-06T12:14:12.62+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064439 | 24808029 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 1116.68765 | 1116.68765 | 2020-12-06T12:14:12.633+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064440 | 24808030 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 1350.702637 | 1350.70264 | 2020-12-06T12:14:12.667+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064441 | 24808031 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 1628.403255 | 1628.40326 | 2020-12-06T12:14:12.697+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064442 | 24808032 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 2068.392886 | 2068.39289 | 2020-12-06T12:14:12.727+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1064471 | 24808061 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 11691.70276 | 11691.70276 | 2020-12-06T12:14:13.47+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064470 | 24808060 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 11175.5987 | 11175.5987 | 2020-12-06T12:14:13.437+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064469 | 24808059 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 12412.22774 | 12412.22774 | 2020-12-06T12:14:13.42+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064468 | 24808058 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 12254.27147 | 12254.27147 | 2020-12-06T12:14:13.39+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064467 | 24808057 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 10410.15196 | 10410.15196 | 2020-12-06T12:14:13.36+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064466 | 24808056 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 8669.981301 | 8669.9813 | 2020-12-06T12:14:13.343+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064465 | 24808055 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 6535.812447 | 6535.81245 | 2020-12-06T12:14:13.31+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064464 | 24808054 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 4951.721841 | 4951.72184 | 2020-12-06T12:14:13.297+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064463 | 24808053 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 3557.036021 | 3557.03602 | 2020-12-06T12:14:13.263+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064461 | 24808051 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 2003.77396 | 2003.77396 | 2020-12-06T12:14:13.217+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064460 | 24808050 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 1598.261216 | 1598.26122 | 2020-12-06T12:14:13.187+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064459 | 24808049 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 1281.414348 | 1281.41435 | 2020-12-06T12:14:13.17+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064458 | 24808048 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 1017.706665 | 1017.70667 | 2020-12-06T12:14:13.14+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064457 | 24808047 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 699.5906524 | 699.59065 | 2020-12-06T12:14:13.123+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064456 | 24808046 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 460.2366629 | 460.23666 | 2020-12-06T12:14:13.09+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064455 | 24808045 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 978.5651118 | 978.56511 | 2020-12-06T12:14:13.06+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064454 | 24808044 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 1944.588561 | 1944.58856 | 2020-12-06T12:14:13.043+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064453 | 24808043 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 5628.165712 | 5628.16571 | 2020-12-06T12:14:13.013+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064462 | 24808052 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 2729.192864 | 2729.19286 | 2020-12-06T12:14:13.233+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1064481 | 24808071 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 2382.744641 | 2382.74464 | 2020-12-06T12:14:13.75+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064482 | 24808072 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 3108.955096 | 3108.9551 | 2020-12-06T12:14:13.78+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064483 | 24808073 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 4375.095432 | 4375.09543 | 2020-12-06T12:14:13.813+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064484 | 24808074 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 5794.372797 | 5794.3728 | 2020-12-06T12:14:13.83+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064485 | 24808075 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 8029.718399 | 8029.7184 | 2020-12-06T12:14:13.86+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064486 | 24808076 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 10091.86044 | 10091.86044 | 2020-12-06T12:14:13.877+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064487 | 24808077 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 12427.12588 | 12427.12588 | 2020-12-06T12:14:13.907+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064488 | 24808078 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 13285.79588 | 13285.79588 | 2020-12-06T12:14:13.94+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064489 | 24808079 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 12615.607 | 12615.607 | 2020-12-06T12:14:13.953+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064490 | 24808080 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 14782.8116 | 14782.8116 | 2020-12-06T12:14:13.987+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064479 | 24808069 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 1381.245248 | 1381.24525 | 2020-12-06T12:14:13.703+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064478 | 24808068 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 1075.684496 | 1075.6845 | 2020-12-06T12:14:13.67+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064477 | 24808067 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 847.9903056 | 847.99031 | 2020-12-06T12:14:13.64+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064476 | 24808066 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 593.2845038 | 593.2845 | 2020-12-06T12:14:13.623+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064475 | 24808065 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 350.7012932 | 350.70129 | 2020-12-06T12:14:13.593+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064474 | 24808064 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 594.8931566 | 594.89316 | 2020-12-06T12:14:13.56+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064473 | 24808063 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 1463.83439 | 1463.83439 | 2020-12-06T12:14:13.53+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064472 | 24808062 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 5043.221579 | 5043.22158 | 2020-12-06T12:14:13.5+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064480 | 24808070 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 1755.057866 | 1755.05787 | 2020-12-06T12:14:13.733+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1064501 | 24808091 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 2651.345188 | 2651.34519 | 2020-12-06T12:14:14.283+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064505 | 24808095 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 9856.872291 | 9856.87229 | 2020-12-06T12:14:14.407+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064502 | 24808092 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 3859.367073 | 3859.36707 | 2020-12-06T12:14:14.313+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064503 | 24808093 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 5275.493225 | 5275.49323 | 2020-12-06T12:14:14.347+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064504 | 24808094 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 7464.140613 | 7464.14061 | 2020-12-06T12:14:14.377+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064506 | 24808096 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 12734.61187 | 12734.61187 | 2020-12-06T12:14:14.44+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064507 | 24808097 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 14269.30969 | 14269.30969 | 2020-12-06T12:14:14.47+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064508 | 24808098 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 14061.25351 | 14061.25351 | 2020-12-06T12:14:14.487+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064509 | 24808099 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 17525.22609 | 17525.22609 | 2020-12-06T12:14:14.517+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064499 | 24808089 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 1414.615421 | 1414.61542 | 2020-12-06T12:14:14.237+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064500 | 24808090 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 1957.345768 | 1957.34577 | 2020-12-06T12:14:14.267+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064491 | 24808081 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 4104.243949 | 4104.24395 | 2020-12-06T12:14:14.017+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064492 | 24808082 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 1118.889536 | 1118.88954 | 2020-12-06T12:14:14.05+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064493 | 24808083 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 317.4005186 | 317.40052 | 2020-12-06T12:14:14.08+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064494 | 24808084 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 257.7915071 | 257.79151 | 2020-12-06T12:14:14.11+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064495 | 24808085 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 501.9503944 | 501.95039 | 2020-12-06T12:14:14.127+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064496 | 24808086 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 706.9462511 | 706.94625 | 2020-12-06T12:14:14.157+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064497 | 24808087 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 841.7125073 | 841.71251 | 2020-12-06T12:14:14.19+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064498 | 24808088 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 1081.484604 | 1081.4846 | 2020-12-06T12:14:14.203+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1064528 | 24808118 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 19121.59902 | 19121.59902 | 2020-12-06T12:14:15.067+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064527 | 24808117 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 15008.96212 | 15008.96212 | 2020-12-06T12:14:15.037+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064526 | 24808116 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 14811.77487 | 14811.77487 | 2020-12-06T12:14:15.02+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064525 | 24808115 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 12765.02777 | 12765.02777 | 2020-12-06T12:14:14.99+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064524 | 24808114 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 9579.034327 | 9579.03433 | 2020-12-06T12:14:14.957+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064523 | 24808113 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 7189.714383 | 7189.71438 | 2020-12-06T12:14:14.94+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064522 | 24808112 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 5021.734656 | 5021.73466 | 2020-12-06T12:14:14.91+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064521 | 24808111 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 3586.671411 | 3586.67141 | 2020-12-06T12:14:14.88+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064520 | 24808110 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 2417.749579 | 2417.74958 | 2020-12-06T12:14:14.847+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064519 | 24808109 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 1696.837693 | 1696.83769 | 2020-12-06T12:14:14.817+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064518 | 24808108 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 1189.627731 | 1189.62773 | 2020-12-06T12:14:14.783+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064517 | 24808107 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 886.1377646 | 886.13776 | 2020-12-06T12:14:14.74+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064516 | 24808106 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 711.8608346 | 711.86083 | 2020-12-06T12:14:14.707+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064515 | 24808105 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 632.7708792 | 632.77088 | 2020-12-06T12:14:14.673+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064514 | 24808104 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 458.6364255 | 458.63643 | 2020-12-06T12:14:14.643+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064513 | 24808103 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 223.0026302 | 223.00263 | 2020-12-06T12:14:14.627+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064512 | 24808102 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 238.5147762 | 238.51478 | 2020-12-06T12:14:14.597+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064511 | 24808101 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 918.6924652 | 918.69247 | 2020-12-06T12:14:14.563+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1064510 | 24808100 | LIFE_0000000032 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 3541.650664 | 3541.65066 | 2020-12-06T12:14:14.533+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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