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.
Нигер: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Нигер
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 62.1 | 60.3 | 57.8 | 49.7 |
Женщины | 64.6 | 62.9 | 60.2 | 51.0 |
Оба пола | 63.3 | 61.5 | 59.0 | 50.4 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1106187 | 24620057 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | 50.4 | 50.35257 | 2020-12-04T17:02:34.34+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106188 | 24620061 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | 59.0 | 58.95322 | 2020-12-04T17:02:34.437+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106189 | 24620065 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | 61.5 | 61.53951 | 2020-12-04T17:02:34.56+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106190 | 24620069 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | 63.3 | 63.28761 | 2020-12-04T17:02:34.67+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106183 | 24620041 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2000 | SEX | FMLE | 51.0 | 50.98764 | 2020-12-04T17:02:33.887+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106184 | 24620045 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2010 | SEX | FMLE | 60.2 | 60.1945 | 2020-12-04T17:02:33.997+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106185 | 24620049 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2015 | SEX | FMLE | 62.9 | 62.86394 | 2020-12-04T17:02:34.153+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106186 | 24620053 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2019 | SEX | FMLE | 64.6 | 64.55505 | 2020-12-04T17:02:34.25+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1106179 | 24620025 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2000 | SEX | MLE | 49.7 | 49.73235 | 2020-12-04T17:02:33.24+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1106180 | 24620029 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2010 | SEX | MLE | 57.8 | 57.77248 | 2020-12-04T17:02:33.477+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1106181 | 24620033 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2015 | SEX | MLE | 60.3 | 60.2756 | 2020-12-04T17:02:33.65+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1106182 | 24620037 | WHOSIS_000001 | COUNTRY | NER | YEAR | 2019 | SEX | MLE | 62.1 | 62.06462 | 2020-12-04T17:02:33.76+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. Нигер
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 55.3 | 53.8 | 51.6 | 44.2 |
Женщины | 55.8 | 54.5 | 52.2 | 44.2 |
Оба пола | 55.5 | 54.1 | 51.9 | 44.2 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1108515 | 24620058 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | 44.2 | 44.17912 | 2020-12-04T17:02:34.357+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108516 | 24620062 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | 51.9 | 51.85902 | 2020-12-04T17:02:34.467+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108517 | 24620066 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | 54.1 | 54.14233 | 2020-12-04T17:02:34.593+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108518 | 24620070 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | 55.5 | 55.52364 | 2020-12-04T17:02:34.717+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108511 | 24620042 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2000 | SEX | FMLE | 44.2 | 44.18628 | 2020-12-04T17:02:33.92+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108512 | 24620046 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2010 | SEX | FMLE | 52.2 | 52.20576 | 2020-12-04T17:02:34.03+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108513 | 24620050 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2015 | SEX | FMLE | 54.5 | 54.49592 | 2020-12-04T17:02:34.187+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108514 | 24620054 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2019 | SEX | FMLE | 55.8 | 55.80838 | 2020-12-04T17:02:34.28+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1108507 | 24620026 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2000 | SEX | MLE | 44.2 | 44.19699 | 2020-12-04T17:02:33.29+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1108508 | 24620030 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2010 | SEX | MLE | 51.6 | 51.56194 | 2020-12-04T17:02:33.54+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1108509 | 24620034 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2015 | SEX | MLE | 53.8 | 53.8392 | 2020-12-04T17:02:33.68+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1108510 | 24620038 | WHOSIS_000002 | COUNTRY | NER | YEAR | 2019 | SEX | MLE | 55.3 | 55.27869 | 2020-12-04T17:02:33.79+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Нигер
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 63 | 62 | 59 | 55 | 50 |
1-4 года | 65 | 64 | 62 | 59 | 55 |
5-9 лет | 64 | 63 | 62 | 61 | 60 |
10-14 лет | 60 | 59 | 58 | 57 | 57 |
15-19 лет | 56 | 55 | 54 | 53 | 53 |
20-24 года | 51 | 50 | 50 | 49 | 48 |
25-29 лет | 46 | 46 | 45 | 44 | 44 |
30-34 года | 42 | 41 | 41 | 40 | 39 |
35-39 лет | 37 | 37 | 36 | 36 | 35 |
40-44 года | 33 | 32 | 32 | 31 | 31 |
45-49 лет | 29 | 28 | 28 | 27 | 27 |
50-54 года | 25 | 24 | 24 | 23 | 23 |
55-59 лет | 21 | 20 | 20 | 20 | 19 |
60-64 года | 17 | 17 | 17 | 16 | 16 |
65-69 лет | 14 | 14 | 13 | 13 | 13 |
70-74 года | 11 | 11 | 11 | 10 | 10 |
75-79 лет | 9 | 8 | 8 | 8 | 8 |
80-84 года | 7 | 6 | 6 | 6 | 6 |
85+ лет | 5 | 5 | 5 | 5 | 5 |
Значение указывает ожидаемую продолжительность жизни в возрастной группе (в момент, когда человек уже дожил до определенного возраста).
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1130803 | 24797480 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 54.83576292 | 54.83576 | 2020-12-06T12:09:18.217+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130802 | 24797479 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 50.35256758 | 50.35257 | 2020-12-06T12:09:18.183+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130820 | 24797497 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.591370273 | 4.59137 | 2020-12-06T12:09:18.687+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130819 | 24797496 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.026049775 | 6.02605 | 2020-12-06T12:09:18.673+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130818 | 24797495 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 7.843796383 | 7.8438 | 2020-12-06T12:09:18.64+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130817 | 24797494 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.03610964 | 10.03611 | 2020-12-06T12:09:18.61+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130816 | 24797493 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 12.75842664 | 12.75843 | 2020-12-06T12:09:18.577+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130815 | 24797492 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 15.78611731 | 15.78612 | 2020-12-06T12:09:18.56+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130814 | 24797491 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.16843464 | 19.16843 | 2020-12-06T12:09:18.53+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130813 | 24797490 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 22.79514042 | 22.79514 | 2020-12-06T12:09:18.5+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130811 | 24797488 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 30.71539446 | 30.71539 | 2020-12-06T12:09:18.437+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130812 | 24797489 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 26.67350021 | 26.6735 | 2020-12-06T12:09:18.467+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130804 | 24797481 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 59.62198308 | 59.62198 | 2020-12-06T12:09:18.247+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130805 | 24797482 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 56.63350779 | 56.63351 | 2020-12-06T12:09:18.28+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130806 | 24797483 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 52.60652457 | 52.60652 | 2020-12-06T12:09:18.297+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130807 | 24797484 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 48.03918523 | 48.03919 | 2020-12-06T12:09:18.327+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130808 | 24797485 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 43.54757383 | 43.54757 | 2020-12-06T12:09:18.357+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130809 | 24797486 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 39.17012565 | 39.17013 | 2020-12-06T12:09:18.39+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130810 | 24797487 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 34.88470663 | 34.88471 | 2020-12-06T12:09:18.403+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1130839 | 24797516 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.679331645 | 4.67933 | 2020-12-06T12:09:19.19+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130838 | 24797515 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.164758146 | 6.16476 | 2020-12-06T12:09:19.16+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130837 | 24797514 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.053323112 | 8.05332 | 2020-12-06T12:09:19.143+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130836 | 24797513 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.32525168 | 10.32525 | 2020-12-06T12:09:19.11+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130835 | 24797512 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.11925364 | 13.11925 | 2020-12-06T12:09:19.097+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130834 | 24797511 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.21690543 | 16.21691 | 2020-12-06T12:09:19.067+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130833 | 24797510 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 19.66566591 | 19.66567 | 2020-12-06T12:09:19.05+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130832 | 24797509 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 23.33773622 | 23.33774 | 2020-12-06T12:09:19.02+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130831 | 24797508 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 27.24966783 | 27.24967 | 2020-12-06T12:09:18.987+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130829 | 24797506 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 35.52220548 | 35.52221 | 2020-12-06T12:09:18.94+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130828 | 24797505 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 39.85262716 | 39.85263 | 2020-12-06T12:09:18.91+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130827 | 24797504 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 44.27900561 | 44.27901 | 2020-12-06T12:09:18.893+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130826 | 24797503 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 48.80941754 | 48.80942 | 2020-12-06T12:09:18.86+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130825 | 24797502 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 53.41458901 | 53.41459 | 2020-12-06T12:09:18.83+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130824 | 24797501 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 57.43329099 | 57.43329 | 2020-12-06T12:09:18.813+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130823 | 24797500 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 60.82983102 | 60.82983 | 2020-12-06T12:09:18.78+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130822 | 24797499 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 58.52549905 | 58.5255 | 2020-12-06T12:09:18.75+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130821 | 24797498 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 54.76976473 | 54.76976 | 2020-12-06T12:09:18.72+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130830 | 24797507 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 31.31768719 | 31.31769 | 2020-12-06T12:09:18.957+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1130849 | 24797526 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 32.02339522 | 32.0234 | 2020-12-06T12:09:19.447+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130850 | 24797527 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 27.85581345 | 27.85581 | 2020-12-06T12:09:19.463+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130851 | 24797528 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 23.85459117 | 23.85459 | 2020-12-06T12:09:19.497+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130852 | 24797529 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.09992267 | 20.09992 | 2020-12-06T12:09:19.527+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130853 | 24797530 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.59071031 | 16.59071 | 2020-12-06T12:09:19.56+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130854 | 24797531 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.43571933 | 13.43572 | 2020-12-06T12:09:19.573+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130855 | 24797532 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.59099739 | 10.591 | 2020-12-06T12:09:19.607+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130856 | 24797533 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.25341381 | 8.25341 | 2020-12-06T12:09:19.637+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130857 | 24797534 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.293624513 | 6.29362 | 2020-12-06T12:09:19.653+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130858 | 24797535 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.756080767 | 4.75608 | 2020-12-06T12:09:19.687+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130847 | 24797524 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 40.73818018 | 40.73818 | 2020-12-06T12:09:19.4+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130846 | 24797523 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.22546412 | 45.22546 | 2020-12-06T12:09:19.37+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130845 | 24797522 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 49.78315628 | 49.78316 | 2020-12-06T12:09:19.35+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130844 | 24797521 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.41213453 | 54.41213 | 2020-12-06T12:09:19.32+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130843 | 24797520 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 58.43619268 | 58.43619 | 2020-12-06T12:09:19.303+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130842 | 24797519 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 62.10792758 | 62.10793 | 2020-12-06T12:09:19.27+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130841 | 24797518 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 61.91468965 | 61.91469 | 2020-12-06T12:09:19.237+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130840 | 24797517 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 58.9532206 | 58.95322 | 2020-12-06T12:09:19.22+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130848 | 24797525 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.32500606 | 36.32501 | 2020-12-06T12:09:19.417+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1130869 | 24797546 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.22750095 | 28.2275 | 2020-12-06T12:09:19.95+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130873 | 24797550 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.64785646 | 13.64786 | 2020-12-06T12:09:20.083+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130870 | 24797547 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 24.17417727 | 24.17418 | 2020-12-06T12:09:19.99+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130871 | 24797548 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.3782002 | 20.3782 | 2020-12-06T12:09:20.02+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130872 | 24797549 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 16.8216579 | 16.82166 | 2020-12-06T12:09:20.05+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130874 | 24797551 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 10.78077831 | 10.78078 | 2020-12-06T12:09:20.13+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130875 | 24797552 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.416248633 | 8.41625 | 2020-12-06T12:09:20.16+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130876 | 24797553 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.417171662 | 6.41717 | 2020-12-06T12:09:20.177+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130877 | 24797554 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.838092326 | 4.83809 | 2020-12-06T12:09:20.193+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130867 | 24797544 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 36.77221302 | 36.77221 | 2020-12-06T12:09:19.903+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130868 | 24797545 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 32.43187159 | 32.43187 | 2020-12-06T12:09:19.937+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130859 | 24797536 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 61.53950944 | 61.53951 | 2020-12-06T12:09:19.713+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130860 | 24797537 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 63.94262029 | 63.94262 | 2020-12-06T12:09:19.73+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130861 | 24797538 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 62.89087851 | 62.89088 | 2020-12-06T12:09:19.763+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130862 | 24797539 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 59.00691807 | 59.00692 | 2020-12-06T12:09:19.78+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130863 | 24797540 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 54.9307925 | 54.93079 | 2020-12-06T12:09:19.81+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130864 | 24797541 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 50.29234112 | 50.29234 | 2020-12-06T12:09:19.827+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130865 | 24797542 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 45.72848942 | 45.72849 | 2020-12-06T12:09:19.857+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130866 | 24797543 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 41.21815468 | 41.21815 | 2020-12-06T12:09:19.89+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1130896 | 24797573 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.938869101 | 4.93887 | 2020-12-06T12:09:20.77+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130895 | 24797572 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.574123202 | 6.57412 | 2020-12-06T12:09:20.74+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130894 | 24797571 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.63202135 | 8.63202 | 2020-12-06T12:09:20.723+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130893 | 24797570 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.04649965 | 11.0465 | 2020-12-06T12:09:20.693+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130892 | 24797569 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 13.95263255 | 13.95263 | 2020-12-06T12:09:20.63+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130891 | 24797568 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 17.1874914 | 17.18749 | 2020-12-06T12:09:20.617+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130890 | 24797567 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 20.80130909 | 20.80131 | 2020-12-06T12:09:20.537+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130889 | 24797566 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 24.66003882 | 24.66004 | 2020-12-06T12:09:20.507+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130888 | 24797565 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 28.76982503 | 28.76983 | 2020-12-06T12:09:20.49+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130887 | 24797564 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 33.02170685 | 33.02171 | 2020-12-06T12:09:20.473+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130886 | 24797563 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 37.4094654 | 37.40947 | 2020-12-06T12:09:20.443+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130885 | 24797562 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 41.88552315 | 41.88552 | 2020-12-06T12:09:20.427+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130884 | 24797561 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 46.41861282 | 46.41861 | 2020-12-06T12:09:20.363+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130883 | 24797560 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 51.00404371 | 51.00404 | 2020-12-06T12:09:20.333+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130882 | 24797559 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 55.66692947 | 55.66693 | 2020-12-06T12:09:20.317+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130881 | 24797558 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 59.80301268 | 59.80301 | 2020-12-06T12:09:20.287+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130880 | 24797557 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 63.82623919 | 63.82624 | 2020-12-06T12:09:20.27+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130879 | 24797556 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 65.44287811 | 65.44288 | 2020-12-06T12:09:20.24+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1130878 | 24797555 | LIFE_0000000035 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 63.28760462 | 63.2876 | 2020-12-06T12:09:20.223+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). Нигер
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
1-4 года | 95'230 | 94'735 | 93'673 | 91'970 | 90'127 |
5-9 лет | 91'802 | 90'458 | 87'584 | 82'800 | 77'359 |
10-14 лет | 90'363 | 88'816 | 85'675 | 80'585 | 74'728 |
15-19 лет | 89'021 | 87'388 | 84'206 | 79'171 | 73'408 |
20-24 года | 88'460 | 86'789 | 83'608 | 78'562 | 72'780 |
25-29 лет | 87'711 | 86'004 | 82'833 | 77'773 | 71'976 |
30-34 года | 86'788 | 85'041 | 81'851 | 76'720 | 70'901 |
35-39 лет | 85'648 | 83'841 | 80'614 | 75'368 | 69'546 |
40-44 года | 84'172 | 82'258 | 78'983 | 73'596 | 67'806 |
45-49 лет | 82'158 | 80'128 | 76'817 | 71'290 | 65'579 |
50-54 года | 79'466 | 77'284 | 73'906 | 68'288 | 62'672 |
55-59 лет | 75'573 | 73'217 | 69'834 | 64'197 | 58'700 |
60-64 года | 70'252 | 67'747 | 64'380 | 58'876 | 53'507 |
65-69 лет | 62'715 | 60'085 | 56'927 | 51'705 | 46'590 |
70-74 года | 53'021 | 50'436 | 47'554 | 42'812 | 38'125 |
75-79 лет | 40'707 | 38'259 | 35'780 | 31'745 | 27'777 |
80-84 года | 27'508 | 25'384 | 23'410 | 20'346 | 17'409 |
85+ лет | 15'066 | 13'550 | 12'239 | 10'386 | 8'656 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1186445 | 24796625 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 90126.73085 | 90126.73085 | 2020-12-06T12:08:54.58+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186444 | 24796624 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:08:54.533+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186462 | 24796642 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 8656.496768 | 8656.49677 | 2020-12-06T12:08:55.02+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186461 | 24796641 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 17409.40366 | 17409.40366 | 2020-12-06T12:08:55.003+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186460 | 24796640 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 27776.77731 | 27776.77731 | 2020-12-06T12:08:54.973+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186459 | 24796639 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 38125.4178 | 38125.4178 | 2020-12-06T12:08:54.957+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186458 | 24796638 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 46590.42118 | 46590.42118 | 2020-12-06T12:08:54.927+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186457 | 24796637 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 53506.71733 | 53506.71733 | 2020-12-06T12:08:54.91+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186456 | 24796636 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 58699.57988 | 58699.57988 | 2020-12-06T12:08:54.88+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186455 | 24796635 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 62671.55502 | 62671.55502 | 2020-12-06T12:08:54.847+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186453 | 24796633 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 67806.3612 | 67806.3612 | 2020-12-06T12:08:54.8+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186454 | 24796634 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 65579.48874 | 65579.48874 | 2020-12-06T12:08:54.817+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186446 | 24796626 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 77359.10782 | 77359.10782 | 2020-12-06T12:08:54.613+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186447 | 24796627 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 74727.60899 | 74727.60899 | 2020-12-06T12:08:54.627+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186448 | 24796628 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 73408.14241 | 73408.14241 | 2020-12-06T12:08:54.66+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186449 | 24796629 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 72779.70302 | 72779.70302 | 2020-12-06T12:08:54.69+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186450 | 24796630 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 71976.17813 | 71976.17813 | 2020-12-06T12:08:54.72+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186451 | 24796631 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 70900.85378 | 70900.85378 | 2020-12-06T12:08:54.753+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186452 | 24796632 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 69545.63647 | 69545.63647 | 2020-12-06T12:08:54.77+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1186481 | 24796661 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 10385.58702 | 10385.58702 | 2020-12-06T12:08:55.55+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186480 | 24796660 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 20345.56459 | 20345.56459 | 2020-12-06T12:08:55.537+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186479 | 24796659 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 31744.84772 | 31744.84772 | 2020-12-06T12:08:55.503+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186478 | 24796658 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 42811.86714 | 42811.86714 | 2020-12-06T12:08:55.49+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186477 | 24796657 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 51705.42012 | 51705.42012 | 2020-12-06T12:08:55.457+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186476 | 24796656 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 58876.25862 | 58876.25862 | 2020-12-06T12:08:55.38+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186475 | 24796655 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 64196.83166 | 64196.83166 | 2020-12-06T12:08:55.35+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186474 | 24796654 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 68287.91324 | 68287.91324 | 2020-12-06T12:08:55.317+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186473 | 24796653 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 71290.05129 | 71290.05129 | 2020-12-06T12:08:55.3+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186471 | 24796651 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 75368.47926 | 75368.47926 | 2020-12-06T12:08:55.253+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186470 | 24796650 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 76719.52479 | 76719.52479 | 2020-12-06T12:08:55.223+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186469 | 24796649 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 77772.87615 | 77772.87615 | 2020-12-06T12:08:55.207+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186468 | 24796648 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 78561.51088 | 78561.51088 | 2020-12-06T12:08:55.177+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186467 | 24796647 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 79170.73363 | 79170.73363 | 2020-12-06T12:08:55.16+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186466 | 24796646 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 80584.99595 | 80584.99595 | 2020-12-06T12:08:55.13+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186465 | 24796645 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 82800.24008 | 82800.24008 | 2020-12-06T12:08:55.113+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186464 | 24796644 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 91970.1237 | 91970.1237 | 2020-12-06T12:08:55.067+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186463 | 24796643 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:08:55.05+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186472 | 24796652 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 73595.61271 | 73595.61271 | 2020-12-06T12:08:55.27+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1186491 | 24796671 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 78983.28823 | 78983.28823 | 2020-12-06T12:08:55.85+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186492 | 24796672 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 76817.4056 | 76817.4056 | 2020-12-06T12:08:55.88+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186493 | 24796673 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 73906.20456 | 73906.20456 | 2020-12-06T12:08:55.897+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186494 | 24796674 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 69833.72495 | 69833.72495 | 2020-12-06T12:08:55.91+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186495 | 24796675 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 64380.43105 | 64380.43105 | 2020-12-06T12:08:55.943+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186496 | 24796676 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 56926.58015 | 56926.58015 | 2020-12-06T12:08:55.957+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186497 | 24796677 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 47554.29125 | 47554.29125 | 2020-12-06T12:08:55.99+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186498 | 24796678 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 35780.41851 | 35780.41851 | 2020-12-06T12:08:56.02+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186499 | 24796679 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 23410.09145 | 23410.09145 | 2020-12-06T12:08:56.037+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186500 | 24796680 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 12239.26519 | 12239.26519 | 2020-12-06T12:08:56.067+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186489 | 24796669 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 81851.21758 | 81851.21758 | 2020-12-06T12:08:55.787+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186488 | 24796668 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 82833.45229 | 82833.45229 | 2020-12-06T12:08:55.77+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186487 | 24796667 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 83608.31354 | 83608.31354 | 2020-12-06T12:08:55.74+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186486 | 24796666 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 84205.87138 | 84205.87138 | 2020-12-06T12:08:55.707+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186485 | 24796665 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 85675.04598 | 85675.04598 | 2020-12-06T12:08:55.69+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186484 | 24796664 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 87584.17415 | 87584.17415 | 2020-12-06T12:08:55.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186483 | 24796663 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 93673.2593 | 93673.2593 | 2020-12-06T12:08:55.63+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186482 | 24796662 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:08:55.6+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186490 | 24796670 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 80614.06612 | 80614.06612 | 2020-12-06T12:08:55.833+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1186511 | 24796691 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 80127.95688 | 80127.95688 | 2020-12-06T12:08:56.35+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186515 | 24796695 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 60085.43741 | 60085.43741 | 2020-12-06T12:08:56.46+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186512 | 24796692 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 77284.18632 | 77284.18632 | 2020-12-06T12:08:56.363+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186513 | 24796693 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 73216.9113 | 73216.9113 | 2020-12-06T12:08:56.397+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186514 | 24796694 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 67747.11595 | 67747.11595 | 2020-12-06T12:08:56.427+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186516 | 24796696 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 50435.58562 | 50435.58562 | 2020-12-06T12:08:56.473+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186517 | 24796697 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 38259.10507 | 38259.10507 | 2020-12-06T12:08:56.507+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186518 | 24796698 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 25383.65152 | 25383.65152 | 2020-12-06T12:08:56.537+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186519 | 24796699 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 13550.13211 | 13550.13211 | 2020-12-06T12:08:56.55+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186509 | 24796689 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 83841.13385 | 83841.13385 | 2020-12-06T12:08:56.27+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186510 | 24796690 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 82257.86561 | 82257.86561 | 2020-12-06T12:08:56.3+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186501 | 24796681 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:08:56.083+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186502 | 24796682 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 94735.49984 | 94735.49984 | 2020-12-06T12:08:56.1+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186503 | 24796683 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 90457.64782 | 90457.64782 | 2020-12-06T12:08:56.13+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186504 | 24796684 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 88816.2989 | 88816.2989 | 2020-12-06T12:08:56.147+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186505 | 24796685 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 87387.53388 | 87387.53388 | 2020-12-06T12:08:56.177+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186506 | 24796686 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 86789.0599 | 86789.0599 | 2020-12-06T12:08:56.193+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186507 | 24796687 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 86004.19392 | 86004.19392 | 2020-12-06T12:08:56.223+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186508 | 24796688 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 85040.90381 | 85040.90381 | 2020-12-06T12:08:56.24+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1186538 | 24796718 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 15065.79932 | 15065.79932 | 2020-12-06T12:08:57.103+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186537 | 24796717 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 27508.37505 | 27508.37505 | 2020-12-06T12:08:57.07+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186536 | 24796716 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 40706.70502 | 40706.70502 | 2020-12-06T12:08:57.01+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186535 | 24796715 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 53021.46232 | 53021.46232 | 2020-12-06T12:08:56.993+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186534 | 24796714 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 62715.29431 | 62715.29431 | 2020-12-06T12:08:56.96+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186533 | 24796713 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 70252.41171 | 70252.41171 | 2020-12-06T12:08:56.947+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186532 | 24796712 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 75573.48737 | 75573.48737 | 2020-12-06T12:08:56.913+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186531 | 24796711 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 79465.61836 | 79465.61836 | 2020-12-06T12:08:56.883+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186530 | 24796710 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 82158.49468 | 82158.49468 | 2020-12-06T12:08:56.85+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186529 | 24796709 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 84172.28322 | 84172.28322 | 2020-12-06T12:08:56.837+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186528 | 24796708 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 85648.49489 | 85648.49489 | 2020-12-06T12:08:56.803+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186527 | 24796707 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 86787.8695 | 86787.8695 | 2020-12-06T12:08:56.773+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186526 | 24796706 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 87710.53419 | 87710.53419 | 2020-12-06T12:08:56.74+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186525 | 24796705 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 88460.20525 | 88460.20525 | 2020-12-06T12:08:56.727+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186524 | 24796704 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 89021.1027 | 89021.1027 | 2020-12-06T12:08:56.677+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186523 | 24796703 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 90363.21058 | 90363.21058 | 2020-12-06T12:08:56.647+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186522 | 24796702 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 91802.47035 | 91802.47035 | 2020-12-06T12:08:56.617+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186521 | 24796701 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 95229.60963 | 95229.60963 | 2020-12-06T12:08:56.6+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1186520 | 24796700 | LIFE_0000000031 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:08:56.567+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Нигер: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Нигер
2013 |
---|
10.2 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043577 | 11082916 | WHS9_CDR | COUNTRY | NER | YEAR | 2013 | 10.2 | 10.2 | 2015-06-17T11:45:36.36+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. Нигер
2015 |
---|
158.63 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043313 | 15728315 | MORTADO | COUNTRY | NER | YEAR | 2015 | 158.6 | 158.63 | 2017-07-10T14:13:49.74+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). Нигер
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 4'770 | 5'265 | 6'327 | 8'030 | 9'873 |
1-4 года | 3'427 | 4'278 | 6'089 | 9'170 | 12'768 |
5-9 лет | 1'439 | 1'641 | 1'909 | 2'215 | 2'631 |
10-14 лет | 1'342 | 1'429 | 1'469 | 1'414 | 1'319 |
15-19 лет | 561 | 598 | 598 | 609 | 628 |
20-24 года | 750 | 785 | 775 | 789 | 804 |
25-29 лет | 923 | 963 | 982 | 1'053 | 1'075 |
30-34 года | 1'139 | 1'200 | 1'237 | 1'351 | 1'355 |
35-39 лет | 1'476 | 1'583 | 1'631 | 1'773 | 1'739 |
40-44 года | 2'014 | 2'130 | 2'166 | 2'306 | 2'227 |
45-49 лет | 2'693 | 2'844 | 2'911 | 3'002 | 2'908 |
50-54 года | 3'892 | 4'067 | 4'072 | 4'091 | 3'972 |
55-59 лет | 5'321 | 5'470 | 5'453 | 5'321 | 5'193 |
60-64 года | 7'537 | 7'662 | 7'454 | 7'171 | 6'916 |
65-69 лет | 9'694 | 9'650 | 9'372 | 8'894 | 8'465 |
70-74 года | 12'315 | 12'176 | 11'774 | 11'067 | 10'349 |
75-79 лет | 13'198 | 12'875 | 12'370 | 11'399 | 10'367 |
80-84 года | 12'443 | 11'834 | 11'171 | 9'960 | 8'753 |
85+ лет | 15'066 | 13'550 | 12'239 | 10'386 | 8'656 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1062725 | 24796055 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 12767.62303 | 12767.62303 | 2020-12-06T12:08:38.073+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062724 | 24796054 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 9873.269147 | 9873.26915 | 2020-12-06T12:08:38.027+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062742 | 24796072 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 8656.496768 | 8656.49677 | 2020-12-06T12:08:38.573+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062741 | 24796071 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 8752.906891 | 8752.90689 | 2020-12-06T12:08:38.543+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062740 | 24796070 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 10367.37366 | 10367.37366 | 2020-12-06T12:08:38.51+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062739 | 24796069 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 10348.64049 | 10348.64049 | 2020-12-06T12:08:38.48+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062738 | 24796068 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 8465.003376 | 8465.00338 | 2020-12-06T12:08:38.463+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062737 | 24796067 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 6916.296157 | 6916.29616 | 2020-12-06T12:08:38.433+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062736 | 24796066 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 5192.862543 | 5192.86254 | 2020-12-06T12:08:38.403+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062735 | 24796065 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 3971.975144 | 3971.97514 | 2020-12-06T12:08:38.387+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062733 | 24796063 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 2226.872461 | 2226.87246 | 2020-12-06T12:08:38.323+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062734 | 24796064 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 2907.933718 | 2907.93372 | 2020-12-06T12:08:38.357+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062726 | 24796056 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 2631.498831 | 2631.49883 | 2020-12-06T12:08:38.103+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062727 | 24796057 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 1319.466587 | 1319.46659 | 2020-12-06T12:08:38.12+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062728 | 24796058 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 628.43939 | 628.43939 | 2020-12-06T12:08:38.183+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062729 | 24796059 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 803.5248902 | 803.52489 | 2020-12-06T12:08:38.213+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062730 | 24796060 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 1075.324345 | 1075.32435 | 2020-12-06T12:08:38.23+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062731 | 24796061 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 1355.217314 | 1355.21731 | 2020-12-06T12:08:38.26+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062732 | 24796062 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 1739.275268 | 1739.27527 | 2020-12-06T12:08:38.293+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1062761 | 24796091 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 10385.58702 | 10385.58702 | 2020-12-06T12:08:39.107+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062760 | 24796090 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 9959.977565 | 9959.97757 | 2020-12-06T12:08:39.077+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062759 | 24796089 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 11399.28313 | 11399.28313 | 2020-12-06T12:08:39.06+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062758 | 24796088 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 11067.01942 | 11067.01942 | 2020-12-06T12:08:39.03+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062757 | 24796087 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 8893.55298 | 8893.55298 | 2020-12-06T12:08:38.997+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062756 | 24796086 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 7170.838499 | 7170.8385 | 2020-12-06T12:08:38.967+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062755 | 24796085 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 5320.573044 | 5320.57304 | 2020-12-06T12:08:38.933+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062754 | 24796084 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 4091.081579 | 4091.08158 | 2020-12-06T12:08:38.92+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062753 | 24796083 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 3002.138047 | 3002.13805 | 2020-12-06T12:08:38.887+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062751 | 24796081 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 1772.866553 | 1772.86655 | 2020-12-06T12:08:38.823+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062750 | 24796080 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 1351.045528 | 1351.04553 | 2020-12-06T12:08:38.793+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062749 | 24796079 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 1053.351365 | 1053.35137 | 2020-12-06T12:08:38.777+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062748 | 24796078 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 788.6347326 | 788.63473 | 2020-12-06T12:08:38.747+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062747 | 24796077 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 609.2227448 | 609.22274 | 2020-12-06T12:08:38.717+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062746 | 24796076 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 1414.262325 | 1414.26233 | 2020-12-06T12:08:38.7+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062745 | 24796075 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 2215.24412 | 2215.24412 | 2020-12-06T12:08:38.653+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062744 | 24796074 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 9169.88362 | 9169.88362 | 2020-12-06T12:08:38.62+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062743 | 24796073 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 8029.876305 | 8029.87631 | 2020-12-06T12:08:38.607+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062752 | 24796082 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 2305.56142 | 2305.56142 | 2020-12-06T12:08:38.857+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1062771 | 24796101 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 2165.882629 | 2165.88263 | 2020-12-06T12:08:39.407+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062772 | 24796102 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 2911.201044 | 2911.20104 | 2020-12-06T12:08:39.437+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062773 | 24796103 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 4072.479609 | 4072.47961 | 2020-12-06T12:08:39.47+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062774 | 24796104 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 5453.293901 | 5453.2939 | 2020-12-06T12:08:39.5+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062775 | 24796105 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 7453.850897 | 7453.8509 | 2020-12-06T12:08:39.533+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062776 | 24796106 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 9372.288898 | 9372.2889 | 2020-12-06T12:08:39.55+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062777 | 24796107 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 11773.87274 | 11773.87274 | 2020-12-06T12:08:39.58+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062778 | 24796108 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 12370.32707 | 12370.32707 | 2020-12-06T12:08:39.61+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062779 | 24796109 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 11170.82625 | 11170.82625 | 2020-12-06T12:08:39.643+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062780 | 24796110 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 12239.26519 | 12239.26519 | 2020-12-06T12:08:39.657+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062769 | 24796099 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 1237.151455 | 1237.15146 | 2020-12-06T12:08:39.343+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062768 | 24796098 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 982.2347143 | 982.23471 | 2020-12-06T12:08:39.31+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062767 | 24796097 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 774.8612433 | 774.86124 | 2020-12-06T12:08:39.28+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062766 | 24796096 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 597.557844 | 597.55784 | 2020-12-06T12:08:39.25+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062765 | 24796095 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 1469.174601 | 1469.1746 | 2020-12-06T12:08:39.217+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062764 | 24796094 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 1909.128166 | 1909.12817 | 2020-12-06T12:08:39.187+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062763 | 24796093 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 6089.085153 | 6089.08515 | 2020-12-06T12:08:39.153+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062762 | 24796092 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 6326.740698 | 6326.7407 | 2020-12-06T12:08:39.123+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062770 | 24796100 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 1630.777895 | 1630.7779 | 2020-12-06T12:08:39.373+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1062791 | 24796121 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 2843.770557 | 2843.77056 | 2020-12-06T12:08:39.97+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062795 | 24796125 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 9649.851782 | 9649.85178 | 2020-12-06T12:08:40.063+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062792 | 24796122 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 4067.275025 | 4067.27503 | 2020-12-06T12:08:40+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062793 | 24796123 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 5469.795349 | 5469.79535 | 2020-12-06T12:08:40.017+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062794 | 24796124 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 7661.678542 | 7661.67854 | 2020-12-06T12:08:40.05+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062796 | 24796126 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 12176.48056 | 12176.48056 | 2020-12-06T12:08:40.097+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062797 | 24796127 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 12875.45354 | 12875.45354 | 2020-12-06T12:08:40.11+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062798 | 24796128 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 11833.51942 | 11833.51942 | 2020-12-06T12:08:40.143+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062799 | 24796129 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 13550.13211 | 13550.13211 | 2020-12-06T12:08:40.16+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062789 | 24796119 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 1583.268246 | 1583.26825 | 2020-12-06T12:08:39.923+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062790 | 24796120 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 2129.908727 | 2129.90873 | 2020-12-06T12:08:39.94+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062781 | 24796111 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 5264.500164 | 5264.50016 | 2020-12-06T12:08:39.69+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062782 | 24796112 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 4277.852017 | 4277.85202 | 2020-12-06T12:08:39.72+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062783 | 24796113 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 1641.348917 | 1641.34892 | 2020-12-06T12:08:39.75+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062784 | 24796114 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 1428.765025 | 1428.76503 | 2020-12-06T12:08:39.783+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062785 | 24796115 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 598.4739739 | 598.47397 | 2020-12-06T12:08:39.8+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062786 | 24796116 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 784.8659862 | 784.86599 | 2020-12-06T12:08:39.83+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062787 | 24796117 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 963.290107 | 963.29011 | 2020-12-06T12:08:39.86+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062788 | 24796118 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 1199.769959 | 1199.76996 | 2020-12-06T12:08:39.893+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1062818 | 24796148 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 15065.79932 | 15065.79932 | 2020-12-06T12:08:40.66+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062817 | 24796147 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 12442.57573 | 12442.57573 | 2020-12-06T12:08:40.627+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062816 | 24796146 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 13198.32997 | 13198.32997 | 2020-12-06T12:08:40.61+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062815 | 24796145 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 12314.7573 | 12314.7573 | 2020-12-06T12:08:40.58+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062814 | 24796144 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 9693.831997 | 9693.832 | 2020-12-06T12:08:40.55+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062813 | 24796143 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 7537.117392 | 7537.11739 | 2020-12-06T12:08:40.533+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062812 | 24796142 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 5321.07566 | 5321.07566 | 2020-12-06T12:08:40.503+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062811 | 24796141 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 3892.130996 | 3892.131 | 2020-12-06T12:08:40.47+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062810 | 24796140 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 2692.876314 | 2692.87631 | 2020-12-06T12:08:40.44+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062809 | 24796139 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 2013.788547 | 2013.78855 | 2020-12-06T12:08:40.41+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062808 | 24796138 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 1476.211671 | 1476.21167 | 2020-12-06T12:08:40.377+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062807 | 24796137 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 1139.374611 | 1139.37461 | 2020-12-06T12:08:40.36+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062806 | 24796136 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 922.6646817 | 922.66468 | 2020-12-06T12:08:40.33+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062805 | 24796135 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 749.6710612 | 749.67106 | 2020-12-06T12:08:40.313+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062804 | 24796134 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 560.8974549 | 560.89745 | 2020-12-06T12:08:40.283+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062803 | 24796133 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 1342.107874 | 1342.10787 | 2020-12-06T12:08:40.25+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062802 | 24796132 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 1439.259772 | 1439.25977 | 2020-12-06T12:08:40.237+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062801 | 24796131 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 3427.13928 | 3427.13928 | 2020-12-06T12:08:40.207+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1062800 | 24796130 | LIFE_0000000032 | COUNTRY | NER | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 4770.390372 | 4770.39037 | 2020-12-06T12:08:40.19+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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