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.
Мальта: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Мальта
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 79.9 | 79.6 | 78.2 | 75.5 |
Женщины | 83.8 | 83.6 | 82.5 | 80.1 |
Оба пола | 81.9 | 81.6 | 80.4 | 77.9 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1106067 | 24619577 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | 77.9 | 77.8685 | 2020-12-04T17:02:18.907+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106068 | 24619581 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | 80.4 | 80.4485 | 2020-12-04T17:02:19.123+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106069 | 24619585 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | 81.6 | 81.64819 | 2020-12-04T17:02:19.22+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106070 | 24619589 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | 81.9 | 81.89443 | 2020-12-04T17:02:19.33+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106063 | 24619561 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2000 | SEX | FMLE | 80.1 | 80.10076 | 2020-12-04T17:02:18.53+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106064 | 24619565 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2010 | SEX | FMLE | 82.5 | 82.54498 | 2020-12-04T17:02:18.623+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106065 | 24619569 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2015 | SEX | FMLE | 83.6 | 83.57609 | 2020-12-04T17:02:18.717+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106066 | 24619573 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2019 | SEX | FMLE | 83.8 | 83.79854 | 2020-12-04T17:02:18.797+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106059 | 24619545 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2000 | SEX | MLE | 75.5 | 75.527 | 2020-12-04T17:02:18.103+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106060 | 24619549 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2010 | SEX | MLE | 78.2 | 78.2261 | 2020-12-04T17:02:18.213+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106061 | 24619553 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2015 | SEX | MLE | 79.6 | 79.62821 | 2020-12-04T17:02:18.31+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106062 | 24619557 | WHOSIS_000001 | COUNTRY | MLT | YEAR | 2019 | SEX | MLE | 79.9 | 79.93996 | 2020-12-04T17:02:18.403+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. Мальта
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 70.9 | 70.7 | 69.6 | 67.6 |
Женщины | 71.9 | 71.8 | 71.1 | 69.4 |
Оба пола | 71.5 | 71.3 | 70.4 | 68.5 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1108395 | 24619578 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | 68.5 | 68.53114 | 2020-12-04T17:02:18.97+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108396 | 24619582 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | 70.4 | 70.40915 | 2020-12-04T17:02:19.157+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108397 | 24619586 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | 71.3 | 71.31999 | 2020-12-04T17:02:19.25+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108398 | 24619590 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | 71.5 | 71.45852 | 2020-12-04T17:02:19.407+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108391 | 24619562 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2000 | SEX | FMLE | 69.4 | 69.38738 | 2020-12-04T17:02:18.543+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108392 | 24619566 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2010 | SEX | FMLE | 71.1 | 71.13289 | 2020-12-04T17:02:18.64+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108393 | 24619570 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2015 | SEX | FMLE | 71.8 | 71.84461 | 2020-12-04T17:02:18.733+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108394 | 24619574 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2019 | SEX | FMLE | 71.9 | 71.94347 | 2020-12-04T17:02:18.827+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108387 | 24619546 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2000 | SEX | MLE | 67.6 | 67.5836 | 2020-12-04T17:02:18.137+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108388 | 24619550 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2010 | SEX | MLE | 69.6 | 69.57986 | 2020-12-04T17:02:18.247+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108389 | 24619554 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2015 | SEX | MLE | 70.7 | 70.70715 | 2020-12-04T17:02:18.34+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108390 | 24619558 | WHOSIS_000002 | COUNTRY | MLT | YEAR | 2019 | SEX | MLE | 70.9 | 70.90981 | 2020-12-04T17:02:18.45+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Мальта
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 82 | 82 | 80 | 79 | 78 |
1-4 года | 81 | 81 | 80 | 79 | 77 |
5-9 лет | 78 | 77 | 76 | 75 | 73 |
10-14 лет | 73 | 72 | 71 | 70 | 68 |
15-19 лет | 68 | 67 | 66 | 65 | 63 |
20-24 года | 63 | 62 | 61 | 60 | 59 |
25-29 лет | 58 | 57 | 56 | 55 | 54 |
30-34 года | 53 | 53 | 51 | 50 | 49 |
35-39 лет | 48 | 48 | 47 | 45 | 44 |
40-44 года | 43 | 43 | 42 | 40 | 39 |
45-49 лет | 38 | 38 | 37 | 36 | 34 |
50-54 года | 34 | 33 | 32 | 31 | 30 |
55-59 лет | 29 | 29 | 28 | 26 | 25 |
60-64 года | 24 | 24 | 23 | 22 | 21 |
65-69 лет | 20 | 20 | 19 | 18 | 17 |
70-74 года | 16 | 16 | 15 | 14 | 13 |
75-79 лет | 12 | 12 | 11 | 11 | 10 |
80-84 года | 9 | 9 | 8 | 8 | 7 |
85+ лет | 6 | 6 | 6 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1135078 | 24827405 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 77.31904168 | 77.31904 | 2020-12-06T12:23:06.87+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135077 | 24827404 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 77.86849628 | 77.8685 | 2020-12-06T12:23:06.837+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135095 | 24827422 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.97694101 | 4.97694 | 2020-12-06T12:23:07.357+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135094 | 24827421 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.194790738 | 7.19479 | 2020-12-06T12:23:07.327+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135093 | 24827420 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.886739978 | 9.88674 | 2020-12-06T12:23:07.31+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135092 | 24827419 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 13.0536467 | 13.05365 | 2020-12-06T12:23:07.277+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135091 | 24827418 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 16.71257693 | 16.71258 | 2020-12-06T12:23:07.247+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135090 | 24827417 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 20.81144818 | 20.81145 | 2020-12-06T12:23:07.23+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135089 | 24827416 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 25.16808048 | 25.16808 | 2020-12-06T12:23:07.2+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135088 | 24827415 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 29.72485923 | 29.72486 | 2020-12-06T12:23:07.167+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135086 | 24827413 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 39.17423166 | 39.17423 | 2020-12-06T12:23:07.107+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135087 | 24827414 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 34.36742972 | 34.36743 | 2020-12-06T12:23:07.137+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135079 | 24827406 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 73.41098965 | 73.41099 | 2020-12-06T12:23:06.9+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135080 | 24827407 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 68.45007474 | 68.45007 | 2020-12-06T12:23:06.93+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135081 | 24827408 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 63.49853803 | 63.49854 | 2020-12-06T12:23:06.963+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135082 | 24827409 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 58.61228373 | 58.61228 | 2020-12-06T12:23:06.993+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135083 | 24827410 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 53.74173812 | 53.74174 | 2020-12-06T12:23:07.027+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135084 | 24827411 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 48.89272061 | 48.89272 | 2020-12-06T12:23:07.057+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135085 | 24827412 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 44.0117216 | 44.01172 | 2020-12-06T12:23:07.09+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1135114 | 24827441 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.408171177 | 5.40817 | 2020-12-06T12:23:07.987+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135113 | 24827440 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.653857986 | 7.65386 | 2020-12-06T12:23:07.953+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135112 | 24827439 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 10.53217829 | 10.53218 | 2020-12-06T12:23:07.94+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135111 | 24827438 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 13.89774324 | 13.89774 | 2020-12-06T12:23:07.907+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135110 | 24827437 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 17.71874713 | 17.71875 | 2020-12-06T12:23:07.86+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135109 | 24827436 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 21.89011421 | 21.89011 | 2020-12-06T12:23:07.813+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135108 | 24827435 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 26.29736565 | 26.29737 | 2020-12-06T12:23:07.783+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135107 | 24827434 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 30.85850098 | 30.8585 | 2020-12-06T12:23:07.75+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135106 | 24827433 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 35.57621824 | 35.57622 | 2020-12-06T12:23:07.72+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135104 | 24827431 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 45.22027583 | 45.22028 | 2020-12-06T12:23:07.64+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135103 | 24827430 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 50.08847485 | 50.08847 | 2020-12-06T12:23:07.61+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135102 | 24827429 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 54.97394609 | 54.97395 | 2020-12-06T12:23:07.58+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135101 | 24827428 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 59.83661622 | 59.83662 | 2020-12-06T12:23:07.547+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135100 | 24827427 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 64.74056652 | 64.74057 | 2020-12-06T12:23:07.513+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135099 | 24827426 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 69.68534346 | 69.68534 | 2020-12-06T12:23:07.483+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135098 | 24827425 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 74.65129907 | 74.6513 | 2020-12-06T12:23:07.45+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135097 | 24827424 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 78.56857745 | 78.56858 | 2020-12-06T12:23:07.42+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135096 | 24827423 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 79.11419296 | 79.11419 | 2020-12-06T12:23:07.387+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135105 | 24827432 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 40.36658639 | 40.36659 | 2020-12-06T12:23:07.687+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1135124 | 24827451 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 41.746805 | 41.74681 | 2020-12-06T12:23:08.267+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135125 | 24827452 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 36.95592718 | 36.95593 | 2020-12-06T12:23:08.3+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135126 | 24827453 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 32.23130819 | 32.23131 | 2020-12-06T12:23:08.343+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135127 | 24827454 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 27.64442174 | 27.64442 | 2020-12-06T12:23:08.377+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135128 | 24827455 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 23.20163256 | 23.20163 | 2020-12-06T12:23:08.407+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135129 | 24827456 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 19.0137152 | 19.01372 | 2020-12-06T12:23:08.44+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135130 | 24827457 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 15.05284348 | 15.05284 | 2020-12-06T12:23:08.47+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135131 | 24827458 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 11.41768584 | 11.41769 | 2020-12-06T12:23:08.487+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135132 | 24827459 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 8.352028823 | 8.35203 | 2020-12-06T12:23:08.517+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135133 | 24827460 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.901002308 | 5.901 | 2020-12-06T12:23:08.55+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135122 | 24827449 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 51.44322145 | 51.44322 | 2020-12-06T12:23:08.22+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135121 | 24827448 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 56.29918464 | 56.29918 | 2020-12-06T12:23:08.19+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135120 | 24827447 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 61.18580116 | 61.1858 | 2020-12-06T12:23:08.173+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135119 | 24827446 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 66.10566002 | 66.10566 | 2020-12-06T12:23:08.14+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135118 | 24827445 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 71.05709718 | 71.0571 | 2020-12-06T12:23:08.11+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135117 | 24827444 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 76.02769032 | 76.02769 | 2020-12-06T12:23:08.08+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135116 | 24827443 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 79.95674237 | 79.95674 | 2020-12-06T12:23:08.047+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135115 | 24827442 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 80.44850516 | 80.44851 | 2020-12-06T12:23:08.017+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135123 | 24827450 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 46.58905754 | 46.58906 | 2020-12-06T12:23:08.25+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1135144 | 24827471 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 37.99482123 | 37.99482 | 2020-12-06T12:23:08.83+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135148 | 24827475 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 19.97844051 | 19.97844 | 2020-12-06T12:23:08.957+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135145 | 24827472 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 33.26278593 | 33.26279 | 2020-12-06T12:23:08.863+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135146 | 24827473 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 28.66218836 | 28.66219 | 2020-12-06T12:23:08.88+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135147 | 24827474 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 24.2294654 | 24.22947 | 2020-12-06T12:23:08.943+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135149 | 24827476 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 15.93799902 | 15.938 | 2020-12-06T12:23:08.99+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135150 | 24827477 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 12.17230787 | 12.17231 | 2020-12-06T12:23:09.003+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135151 | 24827478 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 8.803101775 | 8.8031 | 2020-12-06T12:23:09.037+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135152 | 24827479 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 6.025430077 | 6.02543 | 2020-12-06T12:23:09.05+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135142 | 24827469 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 47.65109997 | 47.6511 | 2020-12-06T12:23:08.783+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135143 | 24827470 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 42.81314281 | 42.81314 | 2020-12-06T12:23:08.817+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135134 | 24827461 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 81.64819716 | 81.6482 | 2020-12-06T12:23:08.58+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135135 | 24827462 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 81.14760061 | 81.1476 | 2020-12-06T12:23:08.627+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135136 | 24827463 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 77.20199301 | 77.20199 | 2020-12-06T12:23:08.64+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135137 | 24827464 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 72.23079494 | 72.23079 | 2020-12-06T12:23:08.673+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135138 | 24827465 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 67.27273607 | 67.27274 | 2020-12-06T12:23:08.69+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135139 | 24827466 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 62.35045964 | 62.35046 | 2020-12-06T12:23:08.72+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135140 | 24827467 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 57.44151861 | 57.44152 | 2020-12-06T12:23:08.737+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135141 | 24827468 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 52.52578186 | 52.52578 | 2020-12-06T12:23:08.77+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1135171 | 24827498 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.996733075 | 5.99673 | 2020-12-06T12:23:09.523+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135170 | 24827497 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 8.901500908 | 8.9015 | 2020-12-06T12:23:09.49+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135169 | 24827496 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 12.36309656 | 12.3631 | 2020-12-06T12:23:09.477+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135168 | 24827495 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 16.18384628 | 16.18385 | 2020-12-06T12:23:09.443+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135167 | 24827494 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 20.22160082 | 20.2216 | 2020-12-06T12:23:09.427+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135166 | 24827493 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 24.48677916 | 24.48678 | 2020-12-06T12:23:09.397+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135165 | 24827492 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 28.93210042 | 28.9321 | 2020-12-06T12:23:09.367+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135164 | 24827491 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 33.50722958 | 33.50723 | 2020-12-06T12:23:09.35+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135163 | 24827490 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 38.24502753 | 38.24503 | 2020-12-06T12:23:09.32+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135162 | 24827489 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 43.07611881 | 43.07612 | 2020-12-06T12:23:09.3+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135161 | 24827488 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 47.9106221 | 47.91062 | 2020-12-06T12:23:09.27+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135160 | 24827487 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 52.79978444 | 52.79978 | 2020-12-06T12:23:09.24+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135159 | 24827486 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 57.72326948 | 57.72327 | 2020-12-06T12:23:09.223+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135158 | 24827485 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 62.62290825 | 62.62291 | 2020-12-06T12:23:09.193+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135157 | 24827484 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 67.55213571 | 67.55214 | 2020-12-06T12:23:09.177+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135156 | 24827483 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 72.52651859 | 72.52652 | 2020-12-06T12:23:09.147+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135155 | 24827482 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 77.5070888 | 77.50709 | 2020-12-06T12:23:09.113+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135154 | 24827481 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 81.43252177 | 81.43252 | 2020-12-06T12:23:09.1+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1135153 | 24827480 | LIFE_0000000035 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 81.89443588 | 81.89444 | 2020-12-06T12:23:09.083+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). Мальта
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
1-4 года | 99'346 | 99'391 | 99'371 | 99'428 | 99'424 |
5-9 лет | 99'254 | 99'323 | 99'282 | 99'321 | 99'303 |
10-14 лет | 99'228 | 99'285 | 99'242 | 99'275 | 99'249 |
15-19 лет | 99'192 | 99'225 | 99'172 | 99'193 | 99'176 |
20-24 года | 99'084 | 99'107 | 99'047 | 99'040 | 98'991 |
25-29 лет | 98'919 | 98'956 | 98'856 | 98'804 | 98'763 |
30-34 года | 98'782 | 98'804 | 98'592 | 98'588 | 98'473 |
35-39 лет | 98'565 | 98'558 | 98'299 | 98'316 | 98'221 |
40-44 года | 98'207 | 98'205 | 97'948 | 97'981 | 97'838 |
45-49 лет | 97'800 | 97'765 | 97'429 | 97'441 | 97'326 |
50-54 года | 97'088 | 97'032 | 96'657 | 96'617 | 96'246 |
55-59 лет | 95'775 | 95'788 | 95'332 | 95'144 | 94'704 |
60-64 года | 93'807 | 93'755 | 93'265 | 92'832 | 92'091 |
65-69 лет | 90'773 | 90'632 | 89'745 | 89'027 | 87'771 |
70-74 года | 86'098 | 85'915 | 84'432 | 82'626 | 80'203 |
75-79 лет | 79'267 | 78'687 | 76'152 | 72'264 | 68'334 |
80-84 года | 68'571 | 67'334 | 62'578 | 57'164 | 52'066 |
85+ лет | 51'662 | 49'782 | 43'591 | 37'254 | 32'692 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1190720 | 24826550 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 99423.99526 | 99423.99526 | 2020-12-06T12:22:43.52+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190719 | 24826549 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:22:43.487+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190737 | 24826567 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 32692.25601 | 32692.25601 | 2020-12-06T12:22:44.003+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190736 | 24826566 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 52065.80726 | 52065.80726 | 2020-12-06T12:22:43.973+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190735 | 24826565 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 68334.21881 | 68334.21881 | 2020-12-06T12:22:43.957+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190734 | 24826564 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 80203.38604 | 80203.38604 | 2020-12-06T12:22:43.927+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190733 | 24826563 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 87771.21395 | 87771.21395 | 2020-12-06T12:22:43.893+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190732 | 24826562 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 92090.54268 | 92090.54268 | 2020-12-06T12:22:43.863+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190731 | 24826561 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 94704.26556 | 94704.26556 | 2020-12-06T12:22:43.847+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190730 | 24826560 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 96246.0529 | 96246.0529 | 2020-12-06T12:22:43.817+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190728 | 24826558 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 97838.26827 | 97838.26827 | 2020-12-06T12:22:43.753+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190729 | 24826559 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 97325.56197 | 97325.56197 | 2020-12-06T12:22:43.783+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190721 | 24826551 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 99303.40806 | 99303.40806 | 2020-12-06T12:22:43.55+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190722 | 24826552 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 99248.70363 | 99248.70363 | 2020-12-06T12:22:43.567+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190723 | 24826553 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 99175.82447 | 99175.82447 | 2020-12-06T12:22:43.597+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190724 | 24826554 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 98991.23272 | 98991.23272 | 2020-12-06T12:22:43.63+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190725 | 24826555 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 98763.3797 | 98763.3797 | 2020-12-06T12:22:43.66+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190726 | 24826556 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 98473.23081 | 98473.23081 | 2020-12-06T12:22:43.69+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190727 | 24826557 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 98221.28545 | 98221.28545 | 2020-12-06T12:22:43.737+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1190756 | 24826586 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 37254.49122 | 37254.49122 | 2020-12-06T12:22:44.457+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190755 | 24826585 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 57163.95261 | 57163.95261 | 2020-12-06T12:22:44.427+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190754 | 24826584 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 72263.66691 | 72263.66691 | 2020-12-06T12:22:44.41+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190753 | 24826583 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 82626.26832 | 82626.26832 | 2020-12-06T12:22:44.38+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190752 | 24826582 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 89027.32409 | 89027.32409 | 2020-12-06T12:22:44.363+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190751 | 24826581 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 92831.8902 | 92831.8902 | 2020-12-06T12:22:44.35+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190750 | 24826580 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 95144.16164 | 95144.16164 | 2020-12-06T12:22:44.32+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190749 | 24826579 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 96616.57413 | 96616.57413 | 2020-12-06T12:22:44.287+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190748 | 24826578 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 97441.13005 | 97441.13005 | 2020-12-06T12:22:44.253+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190746 | 24826576 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 98316.1392 | 98316.1392 | 2020-12-06T12:22:44.223+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190745 | 24826575 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 98588.43546 | 98588.43546 | 2020-12-06T12:22:44.193+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190744 | 24826574 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 98803.61295 | 98803.61295 | 2020-12-06T12:22:44.16+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190743 | 24826573 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 99040.26254 | 99040.26254 | 2020-12-06T12:22:44.143+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190742 | 24826572 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 99193.10157 | 99193.10157 | 2020-12-06T12:22:44.113+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190741 | 24826571 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 99274.63343 | 99274.63343 | 2020-12-06T12:22:44.1+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190740 | 24826570 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 99321.4759 | 99321.4759 | 2020-12-06T12:22:44.067+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190739 | 24826569 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 99428.22118 | 99428.22118 | 2020-12-06T12:22:44.05+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190738 | 24826568 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:22:44.033+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190747 | 24826577 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 97980.5704 | 97980.5704 | 2020-12-06T12:22:44.24+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1190766 | 24826596 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 97948.49691 | 97948.49691 | 2020-12-06T12:22:44.677+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190767 | 24826597 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 97429.35556 | 97429.35556 | 2020-12-06T12:22:44.71+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190768 | 24826598 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 96656.84811 | 96656.84811 | 2020-12-06T12:22:44.74+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190769 | 24826599 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 95332.21653 | 95332.21653 | 2020-12-06T12:22:44.77+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190770 | 24826600 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 93265.41618 | 93265.41618 | 2020-12-06T12:22:44.787+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190771 | 24826601 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 89744.9073 | 89744.9073 | 2020-12-06T12:22:44.82+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190772 | 24826602 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 84432.00909 | 84432.00909 | 2020-12-06T12:22:44.833+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190773 | 24826603 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 76152.15679 | 76152.15679 | 2020-12-06T12:22:44.867+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190774 | 24826604 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 62578.25349 | 62578.25349 | 2020-12-06T12:22:44.88+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190775 | 24826605 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 43591.19659 | 43591.19659 | 2020-12-06T12:22:44.913+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190764 | 24826594 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 98591.85089 | 98591.85089 | 2020-12-06T12:22:44.63+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190763 | 24826593 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 98855.8113 | 98855.8113 | 2020-12-06T12:22:44.613+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190762 | 24826592 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 99046.80496 | 99046.80496 | 2020-12-06T12:22:44.583+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190761 | 24826591 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 99171.60084 | 99171.60084 | 2020-12-06T12:22:44.567+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190760 | 24826590 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 99241.84965 | 99241.84965 | 2020-12-06T12:22:44.537+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190759 | 24826589 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 99281.5407 | 99281.5407 | 2020-12-06T12:22:44.52+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190758 | 24826588 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 99371.43497 | 99371.43497 | 2020-12-06T12:22:44.503+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190757 | 24826587 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:22:44.473+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190765 | 24826595 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 98298.94956 | 98298.94956 | 2020-12-06T12:22:44.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1190786 | 24826616 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 97764.50022 | 97764.50022 | 2020-12-06T12:22:45.24+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190790 | 24826620 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 90631.50854 | 90631.50854 | 2020-12-06T12:22:45.32+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190787 | 24826617 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 97031.96681 | 97031.96681 | 2020-12-06T12:22:45.257+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190788 | 24826618 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 95788.31851 | 95788.31851 | 2020-12-06T12:22:45.27+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190789 | 24826619 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 93755.41162 | 93755.41162 | 2020-12-06T12:22:45.303+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190791 | 24826621 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 85914.82345 | 85914.82345 | 2020-12-06T12:22:45.35+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190792 | 24826622 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 78687.23336 | 78687.23336 | 2020-12-06T12:22:45.367+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190793 | 24826623 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 67334.36197 | 67334.36197 | 2020-12-06T12:22:45.397+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190794 | 24826624 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 49782.27874 | 49782.27874 | 2020-12-06T12:22:45.413+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190784 | 24826614 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 98557.54189 | 98557.54189 | 2020-12-06T12:22:45.193+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190785 | 24826615 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 98205.0935 | 98205.0935 | 2020-12-06T12:22:45.21+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190776 | 24826606 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:22:44.943+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190777 | 24826607 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 99391.32473 | 99391.32473 | 2020-12-06T12:22:44.99+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190778 | 24826608 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 99323.4102 | 99323.4102 | 2020-12-06T12:22:45.02+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190779 | 24826609 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 99285.13005 | 99285.13005 | 2020-12-06T12:22:45.037+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190780 | 24826610 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 99225.4487 | 99225.4487 | 2020-12-06T12:22:45.1+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190781 | 24826611 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 99106.52655 | 99106.52655 | 2020-12-06T12:22:45.117+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190782 | 24826612 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 98955.97084 | 98955.97084 | 2020-12-06T12:22:45.147+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190783 | 24826613 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 98804.43547 | 98804.43547 | 2020-12-06T12:22:45.163+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1190813 | 24826643 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 51662.23223 | 51662.23223 | 2020-12-06T12:22:46.017+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190812 | 24826642 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 68571.44967 | 68571.44967 | 2020-12-06T12:22:45.987+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190811 | 24826641 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 79266.93617 | 79266.93617 | 2020-12-06T12:22:45.95+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190810 | 24826640 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 86098.02407 | 86098.02407 | 2020-12-06T12:22:45.937+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190809 | 24826639 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 90772.96477 | 90772.96477 | 2020-12-06T12:22:45.903+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190808 | 24826638 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 93806.69427 | 93806.69427 | 2020-12-06T12:22:45.873+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190807 | 24826637 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 95775.23168 | 95775.23168 | 2020-12-06T12:22:45.857+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190806 | 24826636 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 97087.57414 | 97087.57414 | 2020-12-06T12:22:45.827+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190805 | 24826635 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 97799.74482 | 97799.74482 | 2020-12-06T12:22:45.793+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190804 | 24826634 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 98206.86187 | 98206.86187 | 2020-12-06T12:22:45.763+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190803 | 24826633 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 98564.7718 | 98564.7718 | 2020-12-06T12:22:45.747+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190802 | 24826632 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 98781.96337 | 98781.96337 | 2020-12-06T12:22:45.717+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190801 | 24826631 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 98918.83136 | 98918.83136 | 2020-12-06T12:22:45.637+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190800 | 24826630 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 99083.95337 | 99083.95337 | 2020-12-06T12:22:45.56+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190799 | 24826629 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 99191.75034 | 99191.75034 | 2020-12-06T12:22:45.543+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190798 | 24826628 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 99228.03668 | 99228.03668 | 2020-12-06T12:22:45.51+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190797 | 24826627 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 99253.74065 | 99253.74065 | 2020-12-06T12:22:45.48+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190796 | 24826626 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 99346.44795 | 99346.44795 | 2020-12-06T12:22:45.463+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1190795 | 24826625 | LIFE_0000000031 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:22:45.45+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Мальта: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Мальта
2013 |
---|
7.5 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043567 | 11082906 | WHS9_CDR | COUNTRY | MLT | YEAR | 2013 | 7.5 | 7.5 | 2015-06-17T11:45:35.897+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. Мальта
2015 |
---|
14.44 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043298 | 15728300 | MORTADO | COUNTRY | MLT | YEAR | 2015 | 14.4 | 14.44 | 2017-07-10T14:13:49.4+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). Мальта
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 654 | 609 | 629 | 572 | 576 |
1-4 года | 93 | 68 | 90 | 107 | 121 |
5-9 лет | 26 | 38 | 40 | 47 | 55 |
10-14 лет | 36 | 60 | 70 | 82 | 73 |
15-19 лет | 108 | 119 | 125 | 153 | 185 |
20-24 года | 165 | 151 | 191 | 237 | 228 |
25-29 лет | 137 | 152 | 264 | 215 | 290 |
30-34 года | 217 | 247 | 293 | 272 | 252 |
35-39 лет | 358 | 352 | 350 | 336 | 383 |
40-44 года | 407 | 441 | 519 | 539 | 513 |
45-49 лет | 712 | 733 | 773 | 825 | 1'080 |
50-54 года | 1'312 | 1'244 | 1'325 | 1'472 | 1'542 |
55-59 лет | 1'969 | 2'033 | 2'067 | 2'312 | 2'614 |
60-64 года | 3'034 | 3'124 | 3'521 | 3'805 | 4'319 |
65-69 лет | 4'675 | 4'717 | 5'313 | 6'401 | 7'568 |
70-74 года | 6'831 | 7'228 | 8'280 | 10'363 | 11'869 |
75-79 лет | 10'695 | 11'353 | 13'574 | 15'100 | 16'268 |
80-84 года | 16'909 | 17'552 | 18'987 | 19'909 | 19'374 |
85+ лет | 51'662 | 49'782 | 43'591 | 37'254 | 32'692 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1067000 | 24825980 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 120.5871959 | 120.5872 | 2020-12-06T12:22:27.773+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1066999 | 24825979 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 576.0047449 | 576.00474 | 2020-12-06T12:22:27.74+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067017 | 24825997 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 32692.25601 | 32692.25601 | 2020-12-06T12:22:28.197+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067016 | 24825996 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 19373.55125 | 19373.55125 | 2020-12-06T12:22:28.163+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067015 | 24825995 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 16268.41155 | 16268.41155 | 2020-12-06T12:22:28.15+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067014 | 24825994 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 11869.16723 | 11869.16723 | 2020-12-06T12:22:28.117+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067013 | 24825993 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 7567.827909 | 7567.82791 | 2020-12-06T12:22:28.1+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067012 | 24825992 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 4319.328728 | 4319.32873 | 2020-12-06T12:22:28.07+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067011 | 24825991 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 2613.722886 | 2613.72289 | 2020-12-06T12:22:28.053+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067010 | 24825990 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 1541.787337 | 1541.78734 | 2020-12-06T12:22:28.023+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067008 | 24825988 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 512.7062963 | 512.7063 | 2020-12-06T12:22:27.977+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067009 | 24825989 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 1079.509069 | 1079.50907 | 2020-12-06T12:22:27.99+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067001 | 24825981 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 54.70442608 | 54.70443 | 2020-12-06T12:22:27.787+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067002 | 24825982 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 72.87916274 | 72.87916 | 2020-12-06T12:22:27.82+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067003 | 24825983 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 184.5917516 | 184.59175 | 2020-12-06T12:22:27.85+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067004 | 24825984 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 227.8530153 | 227.85302 | 2020-12-06T12:22:27.88+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067005 | 24825985 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 290.1488919 | 290.14889 | 2020-12-06T12:22:27.897+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067006 | 24825986 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 251.9453612 | 251.94536 | 2020-12-06T12:22:27.93+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067007 | 24825987 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 383.0171852 | 383.01719 | 2020-12-06T12:22:27.943+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1067036 | 24826016 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 37254.49122 | 37254.49122 | 2020-12-06T12:22:28.68+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067035 | 24826015 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 19909.46139 | 19909.46139 | 2020-12-06T12:22:28.65+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067034 | 24826014 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 15099.7143 | 15099.7143 | 2020-12-06T12:22:28.633+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067033 | 24826013 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 10362.60141 | 10362.60141 | 2020-12-06T12:22:28.603+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067032 | 24826012 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 6401.055769 | 6401.05577 | 2020-12-06T12:22:28.587+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067031 | 24826011 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 3804.56611 | 3804.56611 | 2020-12-06T12:22:28.557+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067030 | 24826010 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 2312.271437 | 2312.27144 | 2020-12-06T12:22:28.523+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067029 | 24826009 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 1472.412491 | 1472.41249 | 2020-12-06T12:22:28.51+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067028 | 24826008 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 824.5559186 | 824.55592 | 2020-12-06T12:22:28.477+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067026 | 24826006 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 335.5688035 | 335.5688 | 2020-12-06T12:22:28.43+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067025 | 24826005 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 272.2962565 | 272.29626 | 2020-12-06T12:22:28.4+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067024 | 24826004 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 215.1774853 | 215.17749 | 2020-12-06T12:22:28.383+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067023 | 24826003 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 236.6495891 | 236.64959 | 2020-12-06T12:22:28.35+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067022 | 24826002 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 152.8390332 | 152.83903 | 2020-12-06T12:22:28.32+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067021 | 24826001 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 81.53186615 | 81.53187 | 2020-12-06T12:22:28.307+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067020 | 24826000 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 46.84246233 | 46.84246 | 2020-12-06T12:22:28.273+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067019 | 24825999 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 106.7452846 | 106.74528 | 2020-12-06T12:22:28.243+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067018 | 24825998 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 571.7788183 | 571.77882 | 2020-12-06T12:22:28.227+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067027 | 24826007 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 539.4403514 | 539.44035 | 2020-12-06T12:22:28.447+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1067046 | 24826026 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 519.1413576 | 519.14136 | 2020-12-06T12:22:28.947+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067047 | 24826027 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 772.5074445 | 772.50744 | 2020-12-06T12:22:28.963+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067048 | 24826028 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 1324.631583 | 1324.63158 | 2020-12-06T12:22:28.993+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067049 | 24826029 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 2066.800343 | 2066.80034 | 2020-12-06T12:22:29.01+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067050 | 24826030 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 3520.508887 | 3520.50889 | 2020-12-06T12:22:29.04+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067051 | 24826031 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 5312.898205 | 5312.89821 | 2020-12-06T12:22:29.057+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067052 | 24826032 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 8279.852302 | 8279.8523 | 2020-12-06T12:22:29.087+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067053 | 24826033 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 13573.9033 | 13573.9033 | 2020-12-06T12:22:29.103+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067054 | 24826034 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 18987.0569 | 18987.0569 | 2020-12-06T12:22:29.137+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067055 | 24826035 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 43591.19659 | 43591.19659 | 2020-12-06T12:22:29.15+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067044 | 24826024 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 292.9013285 | 292.90133 | 2020-12-06T12:22:28.883+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067043 | 24826023 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 263.9604185 | 263.96042 | 2020-12-06T12:22:28.87+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067042 | 24826022 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 190.9936589 | 190.99366 | 2020-12-06T12:22:28.837+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067041 | 24826021 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 124.7958799 | 124.79588 | 2020-12-06T12:22:28.807+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067040 | 24826020 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 70.24880541 | 70.24881 | 2020-12-06T12:22:28.79+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067039 | 24826019 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 39.69105133 | 39.69105 | 2020-12-06T12:22:28.76+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067038 | 24826018 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 89.89426876 | 89.89427 | 2020-12-06T12:22:28.743+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067037 | 24826017 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 628.5650311 | 628.56503 | 2020-12-06T12:22:28.71+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067045 | 24826025 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 350.4526445 | 350.45264 | 2020-12-06T12:22:28.917+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1067066 | 24826046 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 732.5334089 | 732.53341 | 2020-12-06T12:22:29.45+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067070 | 24826050 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 4716.685084 | 4716.68508 | 2020-12-06T12:22:29.543+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067067 | 24826047 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 1243.648303 | 1243.6483 | 2020-12-06T12:22:29.463+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067068 | 24826048 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 2032.906896 | 2032.9069 | 2020-12-06T12:22:29.497+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067069 | 24826049 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 3123.903078 | 3123.90308 | 2020-12-06T12:22:29.51+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067071 | 24826051 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 7227.590096 | 7227.5901 | 2020-12-06T12:22:29.56+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067072 | 24826052 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 11352.87139 | 11352.87139 | 2020-12-06T12:22:29.59+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067073 | 24826053 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 17552.08323 | 17552.08323 | 2020-12-06T12:22:29.607+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067074 | 24826054 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 49782.27874 | 49782.27874 | 2020-12-06T12:22:29.62+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067064 | 24826044 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 352.4483899 | 352.44839 | 2020-12-06T12:22:29.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067065 | 24826045 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 440.5932809 | 440.59328 | 2020-12-06T12:22:29.417+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067056 | 24826036 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 608.6752718 | 608.67527 | 2020-12-06T12:22:29.183+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067057 | 24826037 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 67.9145328 | 67.91453 | 2020-12-06T12:22:29.2+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067058 | 24826038 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 38.28014653 | 38.28015 | 2020-12-06T12:22:29.23+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067059 | 24826039 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 59.68134605 | 59.68135 | 2020-12-06T12:22:29.26+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067060 | 24826040 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 118.922157 | 118.92216 | 2020-12-06T12:22:29.293+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067061 | 24826041 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 150.5557078 | 150.55571 | 2020-12-06T12:22:29.323+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067062 | 24826042 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 151.5353713 | 151.53537 | 2020-12-06T12:22:29.34+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067063 | 24826043 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 246.8935728 | 246.89357 | 2020-12-06T12:22:29.37+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1067093 | 24826073 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 51662.23223 | 51662.23223 | 2020-12-06T12:22:30.073+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067092 | 24826072 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 16909.21744 | 16909.21744 | 2020-12-06T12:22:30.06+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067091 | 24826071 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 10695.48649 | 10695.48649 | 2020-12-06T12:22:30.043+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067090 | 24826070 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 6831.087898 | 6831.0879 | 2020-12-06T12:22:30.013+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067089 | 24826069 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 4674.940703 | 4674.9407 | 2020-12-06T12:22:29.997+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067088 | 24826068 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 3033.729506 | 3033.72951 | 2020-12-06T12:22:29.967+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067087 | 24826067 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 1968.53741 | 1968.53741 | 2020-12-06T12:22:29.95+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067086 | 24826066 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 1312.342453 | 1312.34245 | 2020-12-06T12:22:29.92+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067085 | 24826065 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 712.1706872 | 712.17069 | 2020-12-06T12:22:29.887+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067084 | 24826064 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 407.1170462 | 407.11705 | 2020-12-06T12:22:29.87+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067083 | 24826063 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 357.9099325 | 357.90993 | 2020-12-06T12:22:29.84+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067082 | 24826062 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 217.1915657 | 217.19157 | 2020-12-06T12:22:29.823+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067081 | 24826061 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 136.8679923 | 136.86799 | 2020-12-06T12:22:29.793+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067080 | 24826060 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 165.1220139 | 165.12201 | 2020-12-06T12:22:29.777+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067079 | 24826059 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 107.796968 | 107.79697 | 2020-12-06T12:22:29.747+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067078 | 24826058 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 36.28634037 | 36.28634 | 2020-12-06T12:22:29.73+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067077 | 24826057 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 25.70397102 | 25.70397 | 2020-12-06T12:22:29.713+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067076 | 24826056 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 92.70729151 | 92.70729 | 2020-12-06T12:22:29.683+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1067075 | 24826055 | LIFE_0000000032 | COUNTRY | MLT | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 653.5520545 | 653.55205 | 2020-12-06T12:22:29.67+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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