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.
Непал: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Непал
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 68.9 | 67.3 | 67.5 | 63.9 |
Женщины | 72.7 | 71.4 | 70.9 | 66.6 |
Оба пола | 70.9 | 69.4 | 69.2 | 65.3 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1106247 | 24620297 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | 65.3 | 65.25922 | 2020-12-04T17:02:40.937+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106248 | 24620301 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | 69.2 | 69.18102 | 2020-12-04T17:02:41.047+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106249 | 24620305 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | 69.4 | 69.4259 | 2020-12-04T17:02:41.14+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106250 | 24620309 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | 70.9 | 70.88377 | 2020-12-04T17:02:41.22+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106243 | 24620281 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2000 | SEX | FMLE | 66.6 | 66.57282 | 2020-12-04T17:02:40.467+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106244 | 24620285 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2010 | SEX | FMLE | 70.9 | 70.91686 | 2020-12-04T17:02:40.607+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106245 | 24620289 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2015 | SEX | FMLE | 71.4 | 71.39408 | 2020-12-04T17:02:40.75+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106246 | 24620293 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2019 | SEX | FMLE | 72.7 | 72.74822 | 2020-12-04T17:02:40.843+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106239 | 24620265 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2000 | SEX | MLE | 63.9 | 63.86727 | 2020-12-04T17:02:40.023+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106240 | 24620269 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2010 | SEX | MLE | 67.5 | 67.51768 | 2020-12-04T17:02:40.133+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106241 | 24620273 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2015 | SEX | MLE | 67.3 | 67.32189 | 2020-12-04T17:02:40.26+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106242 | 24620277 | WHOSIS_000001 | COUNTRY | NPL | YEAR | 2019 | SEX | MLE | 68.9 | 68.87744 | 2020-12-04T17:02:40.37+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. Непал
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 60.6 | 59.3 | 59.4 | 55.8 |
Женщины | 62.1 | 61.1 | 60.5 | 56.7 |
Оба пола | 61.3 | 60.2 | 59.9 | 56.3 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1108575 | 24620298 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | 56.3 | 56.2529 | 2020-12-04T17:02:40.97+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108576 | 24620302 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | 59.9 | 59.94721 | 2020-12-04T17:02:41.06+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108577 | 24620306 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | 60.2 | 60.17453 | 2020-12-04T17:02:41.17+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108578 | 24620310 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | 61.3 | 61.34199 | 2020-12-04T17:02:41.25+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108571 | 24620282 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2000 | SEX | FMLE | 56.7 | 56.67344 | 2020-12-04T17:02:40.48+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108572 | 24620286 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2010 | SEX | FMLE | 60.5 | 60.54919 | 2020-12-04T17:02:40.637+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108573 | 24620290 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2015 | SEX | FMLE | 61.1 | 61.05347 | 2020-12-04T17:02:40.78+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108574 | 24620294 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2019 | SEX | FMLE | 62.1 | 62.08302 | 2020-12-04T17:02:40.86+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108567 | 24620266 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2000 | SEX | MLE | 55.8 | 55.80386 | 2020-12-04T17:02:40.07+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108568 | 24620270 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2010 | SEX | MLE | 59.4 | 59.39152 | 2020-12-04T17:02:40.167+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108569 | 24620274 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2015 | SEX | MLE | 59.3 | 59.29019 | 2020-12-04T17:02:40.293+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108570 | 24620278 | WHOSIS_000002 | COUNTRY | NPL | YEAR | 2019 | SEX | MLE | 60.6 | 60.63214 | 2020-12-04T17:02:40.387+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Непал
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 71 | 69 | 69 | 68 | 65 |
1-4 года | 72 | 71 | 71 | 70 | 68 |
5-9 лет | 68 | 67 | 68 | 67 | 66 |
10-14 лет | 63 | 62 | 63 | 63 | 61 |
15-19 лет | 58 | 58 | 58 | 58 | 57 |
20-24 года | 54 | 53 | 53 | 53 | 52 |
25-29 лет | 49 | 48 | 49 | 48 | 47 |
30-34 года | 44 | 44 | 44 | 44 | 43 |
35-39 лет | 40 | 39 | 39 | 39 | 38 |
40-44 года | 35 | 34 | 35 | 35 | 34 |
45-49 лет | 30 | 30 | 30 | 30 | 29 |
50-54 года | 26 | 26 | 26 | 26 | 25 |
55-59 лет | 22 | 22 | 22 | 22 | 21 |
60-64 года | 18 | 18 | 18 | 18 | 18 |
65-69 лет | 15 | 14 | 15 | 15 | 14 |
70-74 года | 11 | 11 | 12 | 12 | 11 |
75-79 лет | 9 | 9 | 9 | 9 | 9 |
80-84 года | 6 | 6 | 7 | 7 | 7 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1131943 | 24805460 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 68.30673183 | 68.30673 | 2020-12-06T12:13:02.29+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131942 | 24805459 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 65.25922135 | 65.25922 | 2020-12-06T12:13:02.26+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131960 | 24805477 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.956993305 | 4.95699 | 2020-12-06T12:13:02.827+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131959 | 24805476 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.60892013 | 6.60892 | 2020-12-06T12:13:02.797+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131958 | 24805475 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.724322105 | 8.72432 | 2020-12-06T12:13:02.78+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131957 | 24805474 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.23839113 | 11.23839 | 2020-12-06T12:13:02.747+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131956 | 24805473 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.25297161 | 14.25297 | 2020-12-06T12:13:02.713+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131955 | 24805472 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 17.59476019 | 17.59476 | 2020-12-06T12:13:02.683+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131954 | 24805471 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.30296383 | 21.30296 | 2020-12-06T12:13:02.667+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131953 | 24805470 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.25136245 | 25.25136 | 2020-12-06T12:13:02.637+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131951 | 24805468 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 33.79701061 | 33.79701 | 2020-12-06T12:13:02.573+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131952 | 24805469 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 29.4509428 | 29.45094 | 2020-12-06T12:13:02.607+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131944 | 24805461 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 65.82962068 | 65.82962 | 2020-12-06T12:13:02.37+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131945 | 24805462 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 61.40548717 | 61.40549 | 2020-12-06T12:13:02.4+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131946 | 24805463 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 56.67532339 | 56.67532 | 2020-12-06T12:13:02.45+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131947 | 24805464 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 51.98387458 | 51.98387 | 2020-12-06T12:13:02.48+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131948 | 24805465 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 47.37546676 | 47.37547 | 2020-12-06T12:13:02.497+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131949 | 24805466 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 42.80324309 | 42.80324 | 2020-12-06T12:13:02.527+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131950 | 24805467 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 38.26565509 | 38.26566 | 2020-12-06T12:13:02.56+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1131979 | 24805496 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.047729999 | 5.04773 | 2020-12-06T12:13:03.39+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131978 | 24805495 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.743998745 | 6.744 | 2020-12-06T12:13:03.343+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131977 | 24805494 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.911815819 | 8.91182 | 2020-12-06T12:13:03.313+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131976 | 24805493 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.52070028 | 11.5207 | 2020-12-06T12:13:03.28+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131975 | 24805492 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.6240079 | 14.62401 | 2020-12-06T12:13:03.25+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131974 | 24805491 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.06719586 | 18.0672 | 2020-12-06T12:13:03.233+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131973 | 24805490 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.87927093 | 21.87927 | 2020-12-06T12:13:03.203+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131972 | 24805489 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.93285907 | 25.93286 | 2020-12-06T12:13:03.17+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131971 | 24805488 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.21843669 | 30.21844 | 2020-12-06T12:13:03.157+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131969 | 24805486 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 39.16876387 | 39.16876 | 2020-12-06T12:13:03.11+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131968 | 24805485 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 43.75503391 | 43.75503 | 2020-12-06T12:13:03.063+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131967 | 24805484 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 48.37456523 | 48.37457 | 2020-12-06T12:13:03.03+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131966 | 24805483 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 53.02217564 | 53.02218 | 2020-12-06T12:13:03.013+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131965 | 24805482 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 57.74745169 | 57.74745 | 2020-12-06T12:13:02.983+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131964 | 24805481 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 62.54391996 | 62.54392 | 2020-12-06T12:13:02.967+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131963 | 24805480 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 67.16202453 | 67.16202 | 2020-12-06T12:13:02.937+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131962 | 24805479 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 70.14744268 | 70.14744 | 2020-12-06T12:13:02.92+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131961 | 24805478 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 67.64951305 | 67.64951 | 2020-12-06T12:13:02.86+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131970 | 24805487 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.64144684 | 34.64145 | 2020-12-06T12:13:03.123+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1131989 | 24805506 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.69221923 | 34.69222 | 2020-12-06T12:13:03.703+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131990 | 24805507 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.25567511 | 30.25568 | 2020-12-06T12:13:03.737+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131991 | 24805508 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.95984243 | 25.95984 | 2020-12-06T12:13:03.767+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131992 | 24805509 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.90815859 | 21.90816 | 2020-12-06T12:13:03.797+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131993 | 24805510 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.09772765 | 18.09773 | 2020-12-06T12:13:03.843+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131994 | 24805511 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.64441733 | 14.64442 | 2020-12-06T12:13:03.877+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131995 | 24805512 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.53317515 | 11.53318 | 2020-12-06T12:13:03.907+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131996 | 24805513 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.903846375 | 8.90385 | 2020-12-06T12:13:03.94+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131997 | 24805514 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.694087349 | 6.69409 | 2020-12-06T12:13:03.97+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131998 | 24805515 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.985203434 | 4.9852 | 2020-12-06T12:13:04+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131987 | 24805504 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 43.86979689 | 43.8698 | 2020-12-06T12:13:03.64+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131986 | 24805503 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 48.52790304 | 48.5279 | 2020-12-06T12:13:03.61+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131985 | 24805502 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 53.20855019 | 53.20855 | 2020-12-06T12:13:03.593+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131984 | 24805501 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 57.9622751 | 57.96228 | 2020-12-06T12:13:03.547+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131983 | 24805500 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 62.79370732 | 62.79371 | 2020-12-06T12:13:03.517+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131982 | 24805499 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 67.5088637 | 67.50886 | 2020-12-06T12:13:03.483+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131981 | 24805498 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 70.81210484 | 70.8121 | 2020-12-06T12:13:03.453+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131980 | 24805497 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 69.18101694 | 69.18102 | 2020-12-06T12:13:03.423+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1131988 | 24805505 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 39.24872099 | 39.24872 | 2020-12-06T12:13:03.673+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1132009 | 24805526 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 29.94972785 | 29.94973 | 2020-12-06T12:13:04.377+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132013 | 24805530 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.40370172 | 14.4037 | 2020-12-06T12:13:04.5+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132010 | 24805527 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.66692325 | 25.66692 | 2020-12-06T12:13:04.407+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132011 | 24805528 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.62322763 | 21.62323 | 2020-12-06T12:13:04.44+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132012 | 24805529 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 17.83372948 | 17.83373 | 2020-12-06T12:13:04.47+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132014 | 24805531 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.29679773 | 11.2968 | 2020-12-06T12:13:04.533+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132015 | 24805532 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.642918114 | 8.64292 | 2020-12-06T12:13:04.563+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132016 | 24805533 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.423762705 | 6.42376 | 2020-12-06T12:13:04.593+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132017 | 24805534 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.675353765 | 4.67535 | 2020-12-06T12:13:04.627+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132007 | 24805524 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 38.93957546 | 38.93958 | 2020-12-06T12:13:04.313+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132008 | 24805525 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.38502348 | 34.38502 | 2020-12-06T12:13:04.343+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1131999 | 24805516 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 69.42589295 | 69.42589 | 2020-12-06T12:13:04.047+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132000 | 24805517 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 70.50566802 | 70.50567 | 2020-12-06T12:13:04.08+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132001 | 24805518 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 66.98113448 | 66.98113 | 2020-12-06T12:13:04.11+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132002 | 24805519 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 62.31257437 | 62.31257 | 2020-12-06T12:13:04.14+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132003 | 24805520 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 57.53885617 | 57.53886 | 2020-12-06T12:13:04.173+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132004 | 24805521 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 52.84984776 | 52.84985 | 2020-12-06T12:13:04.203+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132005 | 24805522 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 48.21241157 | 48.21241 | 2020-12-06T12:13:04.25+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132006 | 24805523 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 43.56266811 | 43.56267 | 2020-12-06T12:13:04.283+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1132036 | 24805553 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.58729853 | 4.5873 | 2020-12-06T12:13:05.227+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132035 | 24805552 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.402296284 | 6.4023 | 2020-12-06T12:13:05.193+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132034 | 24805551 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.664636915 | 8.66464 | 2020-12-06T12:13:05.18+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132033 | 24805550 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.37323096 | 11.37323 | 2020-12-06T12:13:05.147+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132032 | 24805549 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.50503463 | 14.50503 | 2020-12-06T12:13:05.117+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132031 | 24805548 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.00499522 | 18.005 | 2020-12-06T12:13:05.083+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132030 | 24805547 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 21.85967742 | 21.85968 | 2020-12-06T12:13:05.07+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132029 | 24805546 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 25.97908687 | 25.97909 | 2020-12-06T12:13:05.037+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132028 | 24805545 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.33264364 | 30.33264 | 2020-12-06T12:13:05.007+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132027 | 24805544 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.85675286 | 34.85675 | 2020-12-06T12:13:04.973+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132026 | 24805543 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 39.50120485 | 39.5012 | 2020-12-06T12:13:04.943+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132025 | 24805542 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 44.21745454 | 44.21745 | 2020-12-06T12:13:04.897+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132024 | 24805541 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 48.95884795 | 48.95885 | 2020-12-06T12:13:04.863+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132023 | 24805540 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 53.68697735 | 53.68698 | 2020-12-06T12:13:04.833+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132022 | 24805539 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 58.45988473 | 58.45988 | 2020-12-06T12:13:04.8+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132021 | 24805538 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 63.32032895 | 63.32033 | 2020-12-06T12:13:04.77+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132020 | 24805537 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 68.12246173 | 68.12246 | 2020-12-06T12:13:04.737+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132019 | 24805536 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 71.74606492 | 71.74606 | 2020-12-06T12:13:04.703+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1132018 | 24805535 | LIFE_0000000035 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 70.88376453 | 70.88376 | 2020-12-06T12:13:04.673+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). Непал
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
1-4 года | 97'429 | 97'079 | 96'321 | 95'063 | 94'135 |
5-9 лет | 96'909 | 96'414 | 95'361 | 93'676 | 92'034 |
10-14 лет | 96'618 | 95'921 | 94'945 | 93'126 | 91'204 |
15-19 лет | 96'397 | 95'559 | 94'680 | 92'812 | 90'788 |
20-24 года | 96'007 | 95'022 | 94'262 | 92'352 | 90'274 |
25-29 лет | 95'500 | 94'343 | 93'672 | 91'713 | 89'565 |
30-34 года | 94'971 | 93'626 | 92'981 | 90'958 | 88'720 |
35-39 лет | 94'330 | 92'774 | 92'137 | 90'055 | 87'713 |
40-44 года | 93'432 | 91'654 | 91'038 | 88'909 | 86'429 |
45-49 лет | 92'078 | 90'059 | 89'472 | 87'341 | 84'660 |
50-54 года | 89'988 | 87'766 | 87'259 | 85'147 | 82'219 |
55-59 лет | 86'735 | 84'286 | 83'868 | 81'841 | 78'586 |
60-64 года | 81'890 | 79'269 | 79'025 | 77'114 | 73'534 |
65-69 лет | 74'666 | 71'906 | 71'895 | 70'103 | 66'256 |
70-74 года | 64'612 | 62'040 | 62'219 | 60'620 | 56'681 |
75-79 лет | 51'351 | 48'978 | 49'285 | 47'918 | 44'127 |
80-84 года | 35'559 | 33'715 | 34'328 | 33'237 | 30'153 |
85+ лет | 19'579 | 18'437 | 19'234 | 18'689 | 16'615 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1187585 | 24804605 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 94134.61502 | 94134.61502 | 2020-12-06T12:12:39.58+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187584 | 24804604 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:12:39.563+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187602 | 24804622 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 16614.83652 | 16614.83652 | 2020-12-06T12:12:40.003+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187601 | 24804621 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 30153.11098 | 30153.11098 | 2020-12-06T12:12:39.97+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187600 | 24804620 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 44127.25996 | 44127.25996 | 2020-12-06T12:12:39.957+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187599 | 24804619 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 56680.75187 | 56680.75187 | 2020-12-06T12:12:39.923+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187598 | 24804618 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 66255.78316 | 66255.78316 | 2020-12-06T12:12:39.91+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187597 | 24804617 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 73534.20928 | 73534.20928 | 2020-12-06T12:12:39.877+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187596 | 24804616 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 78586.13749 | 78586.13749 | 2020-12-06T12:12:39.863+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187595 | 24804615 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 82218.50417 | 82218.50417 | 2020-12-06T12:12:39.83+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187593 | 24804613 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 86429.24896 | 86429.24896 | 2020-12-06T12:12:39.783+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187594 | 24804614 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 84660.32252 | 84660.32252 | 2020-12-06T12:12:39.8+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187586 | 24804606 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 92033.52529 | 92033.52529 | 2020-12-06T12:12:39.61+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187587 | 24804607 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 91204.19082 | 91204.19082 | 2020-12-06T12:12:39.627+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187588 | 24804608 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 90788.30473 | 90788.30473 | 2020-12-06T12:12:39.66+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187589 | 24804609 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 90274.15554 | 90274.15554 | 2020-12-06T12:12:39.673+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187590 | 24804610 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 89565.37714 | 89565.37714 | 2020-12-06T12:12:39.707+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187591 | 24804611 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 88719.65517 | 88719.65517 | 2020-12-06T12:12:39.737+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187592 | 24804612 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 87713.29251 | 87713.29251 | 2020-12-06T12:12:39.753+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1187621 | 24804641 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 18688.78826 | 18688.78826 | 2020-12-06T12:12:40.457+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187620 | 24804640 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 33237.03334 | 33237.03334 | 2020-12-06T12:12:40.44+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187619 | 24804639 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 47918.26578 | 47918.26578 | 2020-12-06T12:12:40.41+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187618 | 24804638 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 60619.95263 | 60619.95263 | 2020-12-06T12:12:40.393+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187617 | 24804637 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 70103.40092 | 70103.40092 | 2020-12-06T12:12:40.363+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187616 | 24804636 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 77114.15737 | 77114.15737 | 2020-12-06T12:12:40.347+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187615 | 24804635 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 81841.15819 | 81841.15819 | 2020-12-06T12:12:40.317+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187614 | 24804634 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 85146.57828 | 85146.57828 | 2020-12-06T12:12:40.3+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187613 | 24804633 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 87341.16889 | 87341.16889 | 2020-12-06T12:12:40.27+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187611 | 24804631 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 90055.174 | 90055.174 | 2020-12-06T12:12:40.223+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187610 | 24804630 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 90958.30071 | 90958.30071 | 2020-12-06T12:12:40.207+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187609 | 24804629 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 91712.6792 | 91712.6792 | 2020-12-06T12:12:40.177+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187608 | 24804628 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 92352.37044 | 92352.37044 | 2020-12-06T12:12:40.16+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187607 | 24804627 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 92811.60262 | 92811.60262 | 2020-12-06T12:12:40.13+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187606 | 24804626 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 93126.20743 | 93126.20743 | 2020-12-06T12:12:40.113+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187605 | 24804625 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 93676.213 | 93676.213 | 2020-12-06T12:12:40.08+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187604 | 24804624 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 95062.72986 | 95062.72986 | 2020-12-06T12:12:40.05+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187603 | 24804623 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:12:40.033+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187612 | 24804632 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 88909.08114 | 88909.08114 | 2020-12-06T12:12:40.253+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1187631 | 24804651 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 91038.31168 | 91038.31168 | 2020-12-06T12:12:40.707+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187632 | 24804652 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 89472.29076 | 89472.29076 | 2020-12-06T12:12:40.74+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187633 | 24804653 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 87258.52366 | 87258.52366 | 2020-12-06T12:12:40.753+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187634 | 24804654 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 83868.31838 | 83868.31838 | 2020-12-06T12:12:40.787+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187635 | 24804655 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 79024.71821 | 79024.71821 | 2020-12-06T12:12:40.8+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187636 | 24804656 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 71895.47529 | 71895.47529 | 2020-12-06T12:12:40.833+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187637 | 24804657 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 62218.89535 | 62218.89535 | 2020-12-06T12:12:40.85+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187638 | 24804658 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 49284.61512 | 49284.61512 | 2020-12-06T12:12:40.88+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187639 | 24804659 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 34327.61642 | 34327.61642 | 2020-12-06T12:12:40.897+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187640 | 24804660 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 19234.34988 | 19234.34988 | 2020-12-06T12:12:40.93+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187629 | 24804649 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 92980.92152 | 92980.92152 | 2020-12-06T12:12:40.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187628 | 24804648 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 93671.58095 | 93671.58095 | 2020-12-06T12:12:40.647+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187627 | 24804647 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 94261.50683 | 94261.50683 | 2020-12-06T12:12:40.613+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187626 | 24804646 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 94680.06631 | 94680.06631 | 2020-12-06T12:12:40.583+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187625 | 24804645 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 94944.7707 | 94944.7707 | 2020-12-06T12:12:40.567+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187624 | 24804644 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 95360.78185 | 95360.78185 | 2020-12-06T12:12:40.537+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187623 | 24804643 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 96320.77967 | 96320.77967 | 2020-12-06T12:12:40.503+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187622 | 24804642 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:12:40.49+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187630 | 24804650 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 92136.99837 | 92136.99837 | 2020-12-06T12:12:40.693+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1187651 | 24804671 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 90058.75264 | 90058.75264 | 2020-12-06T12:12:41.197+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187655 | 24804675 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 71906.41461 | 71906.41461 | 2020-12-06T12:12:41.307+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187652 | 24804672 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 87765.64726 | 87765.64726 | 2020-12-06T12:12:41.21+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187653 | 24804673 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 84286.40004 | 84286.40004 | 2020-12-06T12:12:41.243+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187654 | 24804674 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 79268.6858 | 79268.6858 | 2020-12-06T12:12:41.26+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187656 | 24804676 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 62039.9406 | 62039.9406 | 2020-12-06T12:12:41.353+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187657 | 24804677 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 48977.54816 | 48977.54816 | 2020-12-06T12:12:41.37+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187658 | 24804678 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 33715.04574 | 33715.04574 | 2020-12-06T12:12:41.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187659 | 24804679 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 18436.69921 | 18436.69921 | 2020-12-06T12:12:41.417+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187649 | 24804669 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 92774.15357 | 92774.15357 | 2020-12-06T12:12:41.15+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187650 | 24804670 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 91653.75134 | 91653.75134 | 2020-12-06T12:12:41.163+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187641 | 24804661 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:12:40.943+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187642 | 24804662 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 97079.20011 | 97079.20011 | 2020-12-06T12:12:40.977+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187643 | 24804663 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 96413.91978 | 96413.91978 | 2020-12-06T12:12:40.99+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187644 | 24804664 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 95920.87628 | 95920.87628 | 2020-12-06T12:12:41.023+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187645 | 24804665 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 95559.35792 | 95559.35792 | 2020-12-06T12:12:41.04+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187646 | 24804666 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 95022.44305 | 95022.44305 | 2020-12-06T12:12:41.07+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187647 | 24804667 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 94343.08867 | 94343.08867 | 2020-12-06T12:12:41.1+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187648 | 24804668 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 93625.71198 | 93625.71198 | 2020-12-06T12:12:41.117+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1187678 | 24804698 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 19579.12401 | 19579.12401 | 2020-12-06T12:12:41.903+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187677 | 24804697 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 35559.34422 | 35559.34422 | 2020-12-06T12:12:41.87+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187676 | 24804696 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 51350.92662 | 51350.92662 | 2020-12-06T12:12:41.857+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187675 | 24804695 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 64611.69033 | 64611.69033 | 2020-12-06T12:12:41.823+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187674 | 24804694 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 74666.41542 | 74666.41542 | 2020-12-06T12:12:41.793+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187673 | 24804693 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 81890.05939 | 81890.05939 | 2020-12-06T12:12:41.777+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187672 | 24804692 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 86734.67231 | 86734.67231 | 2020-12-06T12:12:41.747+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187671 | 24804691 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 89987.68352 | 89987.68352 | 2020-12-06T12:12:41.7+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187670 | 24804690 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 92077.74472 | 92077.74472 | 2020-12-06T12:12:41.683+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187669 | 24804689 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 93431.98907 | 93431.98907 | 2020-12-06T12:12:41.653+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187668 | 24804688 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 94329.78573 | 94329.78573 | 2020-12-06T12:12:41.637+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187667 | 24804687 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 94971.39021 | 94971.39021 | 2020-12-06T12:12:41.607+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187666 | 24804686 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 95500.03499 | 95500.03499 | 2020-12-06T12:12:41.59+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187665 | 24804685 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 96007.26657 | 96007.26657 | 2020-12-06T12:12:41.557+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187664 | 24804684 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 96396.87678 | 96396.87678 | 2020-12-06T12:12:41.527+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187663 | 24804683 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 96618.065 | 96618.065 | 2020-12-06T12:12:41.51+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187662 | 24804682 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 96909.39129 | 96909.39129 | 2020-12-06T12:12:41.48+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187661 | 24804681 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 97429.39745 | 97429.39745 | 2020-12-06T12:12:41.463+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1187660 | 24804680 | LIFE_0000000031 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:12:41.447+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Непал: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Непал
2013 |
---|
6.6 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043583 | 11082922 | WHS9_CDR | COUNTRY | NPL | YEAR | 2013 | 6.6 | 6.6 | 2015-06-17T11:45:36.677+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. Непал
2015 |
---|
90.5 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043309 | 15728311 | MORTADO | COUNTRY | NPL | YEAR | 2015 | 90.5 | 90.5 | 2017-07-10T14:13:49.653+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). Непал
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 2'571 | 2'921 | 3'679 | 4'937 | 5'865 |
1-4 года | 520 | 665 | 960 | 1'387 | 2'101 |
5-9 лет | 291 | 493 | 416 | 550 | 829 |
10-14 лет | 221 | 362 | 265 | 315 | 416 |
15-19 лет | 390 | 537 | 419 | 459 | 514 |
20-24 года | 507 | 679 | 590 | 640 | 709 |
25-29 лет | 529 | 717 | 691 | 754 | 846 |
30-34 года | 642 | 852 | 844 | 903 | 1'006 |
35-39 лет | 898 | 1'120 | 1'099 | 1'146 | 1'284 |
40-44 года | 1'354 | 1'595 | 1'566 | 1'568 | 1'769 |
45-49 лет | 2'090 | 2'293 | 2'214 | 2'195 | 2'442 |
50-54 года | 3'253 | 3'479 | 3'390 | 3'305 | 3'632 |
55-59 лет | 4'845 | 5'018 | 4'844 | 4'727 | 5'052 |
60-64 года | 7'224 | 7'362 | 7'129 | 7'011 | 7'278 |
65-69 лет | 10'055 | 9'866 | 9'677 | 9'483 | 9'575 |
70-74 года | 13'261 | 13'062 | 12'934 | 12'702 | 12'553 |
75-79 лет | 15'792 | 15'263 | 14'957 | 14'681 | 13'974 |
80-84 года | 15'980 | 15'278 | 15'093 | 14'548 | 13'538 |
85+ лет | 19'579 | 18'437 | 19'234 | 18'689 | 16'615 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1063865 | 24804035 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 2101.089733 | 2101.08973 | 2020-12-06T12:12:23.947+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063864 | 24804034 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 5865.384981 | 5865.38498 | 2020-12-06T12:12:23.837+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063882 | 24804052 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 16614.83652 | 16614.83652 | 2020-12-06T12:12:24.527+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063881 | 24804051 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 13538.27446 | 13538.27446 | 2020-12-06T12:12:24.493+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063880 | 24804050 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 13974.14898 | 13974.14898 | 2020-12-06T12:12:24.463+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063879 | 24804049 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 12553.49191 | 12553.49191 | 2020-12-06T12:12:24.447+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063878 | 24804048 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 9575.031292 | 9575.03129 | 2020-12-06T12:12:24.43+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063877 | 24804047 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 7278.426122 | 7278.42612 | 2020-12-06T12:12:24.4+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063876 | 24804046 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 5051.928206 | 5051.92821 | 2020-12-06T12:12:24.383+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063875 | 24804045 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 3632.366679 | 3632.36668 | 2020-12-06T12:12:24.273+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063873 | 24804043 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 1768.926443 | 1768.92644 | 2020-12-06T12:12:24.18+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063874 | 24804044 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 2441.81835 | 2441.81835 | 2020-12-06T12:12:24.213+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063866 | 24804036 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 829.3344668 | 829.33447 | 2020-12-06T12:12:24.01+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063867 | 24804037 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 415.8860917 | 415.88609 | 2020-12-06T12:12:24.04+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063868 | 24804038 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 514.1491833 | 514.14918 | 2020-12-06T12:12:24.07+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063869 | 24804039 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 708.778402 | 708.7784 | 2020-12-06T12:12:24.087+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063870 | 24804040 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 845.7219729 | 845.72197 | 2020-12-06T12:12:24.12+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063871 | 24804041 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 1006.362662 | 1006.36266 | 2020-12-06T12:12:24.133+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063872 | 24804042 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 1284.043547 | 1284.04355 | 2020-12-06T12:12:24.167+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1063901 | 24804071 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 18688.78826 | 18688.78826 | 2020-12-06T12:12:24.97+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063900 | 24804070 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 14548.24508 | 14548.24508 | 2020-12-06T12:12:24.937+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063899 | 24804069 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 14681.23244 | 14681.23244 | 2020-12-06T12:12:24.92+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063898 | 24804068 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 12701.68685 | 12701.68685 | 2020-12-06T12:12:24.89+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063897 | 24804067 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 9483.44829 | 9483.44829 | 2020-12-06T12:12:24.873+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063896 | 24804066 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 7010.75645 | 7010.75645 | 2020-12-06T12:12:24.843+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063895 | 24804065 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 4727.000827 | 4727.00083 | 2020-12-06T12:12:24.827+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063894 | 24804064 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 3305.420089 | 3305.42009 | 2020-12-06T12:12:24.797+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063893 | 24804063 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 2194.590604 | 2194.5906 | 2020-12-06T12:12:24.78+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063891 | 24804061 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 1146.092862 | 1146.09286 | 2020-12-06T12:12:24.733+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063890 | 24804060 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 903.1267057 | 903.12671 | 2020-12-06T12:12:24.7+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063889 | 24804059 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 754.3784913 | 754.37849 | 2020-12-06T12:12:24.687+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063888 | 24804058 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 639.6912368 | 639.69124 | 2020-12-06T12:12:24.653+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063887 | 24804057 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 459.2321792 | 459.23218 | 2020-12-06T12:12:24.637+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063886 | 24804056 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 314.6048123 | 314.60481 | 2020-12-06T12:12:24.62+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063885 | 24804055 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 550.0055681 | 550.00557 | 2020-12-06T12:12:24.59+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063884 | 24804054 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 1386.516858 | 1386.51686 | 2020-12-06T12:12:24.573+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063883 | 24804053 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 4937.270144 | 4937.27014 | 2020-12-06T12:12:24.543+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063892 | 24804062 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 1567.912257 | 1567.91226 | 2020-12-06T12:12:24.75+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1063911 | 24804081 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 1566.02092 | 1566.02092 | 2020-12-06T12:12:25.203+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063912 | 24804082 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 2213.767101 | 2213.7671 | 2020-12-06T12:12:25.237+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063913 | 24804083 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 3390.205284 | 3390.20528 | 2020-12-06T12:12:25.25+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063914 | 24804084 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 4843.600167 | 4843.60017 | 2020-12-06T12:12:25.283+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063915 | 24804085 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 7129.242922 | 7129.24292 | 2020-12-06T12:12:25.3+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063916 | 24804086 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 9676.579938 | 9676.57994 | 2020-12-06T12:12:25.33+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063917 | 24804087 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 12934.28023 | 12934.28023 | 2020-12-06T12:12:25.36+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063918 | 24804088 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 14956.9987 | 14956.9987 | 2020-12-06T12:12:25.377+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063919 | 24804089 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 15093.26655 | 15093.26655 | 2020-12-06T12:12:25.407+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063920 | 24804090 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 19234.34988 | 19234.34988 | 2020-12-06T12:12:25.423+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063909 | 24804079 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 843.9231494 | 843.92315 | 2020-12-06T12:12:25.157+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063908 | 24804078 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 690.6594327 | 690.65943 | 2020-12-06T12:12:25.14+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063907 | 24804077 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 589.9258776 | 589.92588 | 2020-12-06T12:12:25.11+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063906 | 24804076 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 418.5594828 | 418.55948 | 2020-12-06T12:12:25.093+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063905 | 24804075 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 264.7043867 | 264.70439 | 2020-12-06T12:12:25.06+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063904 | 24804074 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 416.0111534 | 416.01115 | 2020-12-06T12:12:25.047+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063903 | 24804073 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 959.9978142 | 959.99781 | 2020-12-06T12:12:25.013+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063902 | 24804072 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 3679.220332 | 3679.22033 | 2020-12-06T12:12:24.983+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063910 | 24804080 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 1098.686689 | 1098.68669 | 2020-12-06T12:12:25.19+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1063931 | 24804101 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 2293.105376 | 2293.10538 | 2020-12-06T12:12:25.69+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063935 | 24804105 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 9866.474016 | 9866.47402 | 2020-12-06T12:12:25.787+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063932 | 24804102 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 3479.247223 | 3479.24722 | 2020-12-06T12:12:25.71+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063933 | 24804103 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 5017.714234 | 5017.71423 | 2020-12-06T12:12:25.74+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063934 | 24804104 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 7362.271188 | 7362.27119 | 2020-12-06T12:12:25.77+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063936 | 24804106 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 13062.39244 | 13062.39244 | 2020-12-06T12:12:25.82+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063937 | 24804107 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 15262.50242 | 15262.50242 | 2020-12-06T12:12:25.833+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063938 | 24804108 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 15278.34653 | 15278.34653 | 2020-12-06T12:12:25.867+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063939 | 24804109 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 18436.69921 | 18436.69921 | 2020-12-06T12:12:25.88+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063929 | 24804099 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 1120.402235 | 1120.40224 | 2020-12-06T12:12:25.643+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063930 | 24804100 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 1594.998704 | 1594.9987 | 2020-12-06T12:12:25.677+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063921 | 24804091 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 2920.799887 | 2920.79989 | 2020-12-06T12:12:25.453+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063922 | 24804092 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 665.2803317 | 665.28033 | 2020-12-06T12:12:25.47+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063923 | 24804093 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 493.0435024 | 493.0435 | 2020-12-06T12:12:25.5+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063924 | 24804094 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 361.5183552 | 361.51836 | 2020-12-06T12:12:25.517+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063925 | 24804095 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 536.9148756 | 536.91488 | 2020-12-06T12:12:25.55+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063926 | 24804096 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 679.3543797 | 679.35438 | 2020-12-06T12:12:25.563+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063927 | 24804097 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 717.3766854 | 717.37669 | 2020-12-06T12:12:25.597+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063928 | 24804098 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 851.5584096 | 851.55841 | 2020-12-06T12:12:25.613+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1063958 | 24804128 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 19579.12401 | 19579.12401 | 2020-12-06T12:12:26.413+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063957 | 24804127 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 15980.22021 | 15980.22021 | 2020-12-06T12:12:26.367+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063956 | 24804126 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 15791.58241 | 15791.58241 | 2020-12-06T12:12:26.353+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063955 | 24804125 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 13260.7637 | 13260.7637 | 2020-12-06T12:12:26.32+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063954 | 24804124 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 10054.72509 | 10054.72509 | 2020-12-06T12:12:26.307+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063953 | 24804123 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 7223.643969 | 7223.64397 | 2020-12-06T12:12:26.273+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063952 | 24804122 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 4844.612923 | 4844.61292 | 2020-12-06T12:12:26.257+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063951 | 24804121 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 3253.011206 | 3253.01121 | 2020-12-06T12:12:26.243+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063950 | 24804120 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 2090.061206 | 2090.06121 | 2020-12-06T12:12:26.21+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063949 | 24804119 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 1354.244342 | 1354.24434 | 2020-12-06T12:12:26.197+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063948 | 24804118 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 897.7966625 | 897.79666 | 2020-12-06T12:12:26.163+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063947 | 24804117 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 641.6044781 | 641.60448 | 2020-12-06T12:12:26.15+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063946 | 24804116 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 528.6447832 | 528.64478 | 2020-12-06T12:12:26.117+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063945 | 24804115 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 507.231577 | 507.23158 | 2020-12-06T12:12:26.1+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063944 | 24804114 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 389.6102082 | 389.61021 | 2020-12-06T12:12:26.07+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063943 | 24804113 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 221.1882271 | 221.18823 | 2020-12-06T12:12:26.007+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063942 | 24804112 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 291.3262855 | 291.32629 | 2020-12-06T12:12:25.96+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063941 | 24804111 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 520.0061572 | 520.00616 | 2020-12-06T12:12:25.943+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1063940 | 24804110 | LIFE_0000000032 | COUNTRY | NPL | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 2570.602555 | 2570.60256 | 2020-12-06T12:12:25.913+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Непал: Другие индикаторы смертности
Поддержать портал
Сбербанк: 4274320078898619
Онлайн перевод
Помочь в обслуживании и развитии портала. Подробнее »