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.
Марокко: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Марокко
| 2019 | 2015 | 2010 | 2000 | |
|---|---|---|---|---|
| Мужчины | 71.7 | 71.4 | 71.1 | 68.1 |
| Женщины | 74.3 | 73.6 | 72.3 | 70.6 |
| Оба пола | 73.0 | 72.5 | 71.6 | 69.3 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1105983 | 24619241 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | 69.3 | 69.34715 | 2020-12-04T17:02:09.463+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105984 | 24619245 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | 71.6 | 71.59913 | 2020-12-04T17:02:09.56+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105985 | 24619249 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | 72.5 | 72.46462 | 2020-12-04T17:02:09.667+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105986 | 24619253 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | 73.0 | 72.98804 | 2020-12-04T17:02:09.763+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105979 | 24619225 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2000 | SEX | FMLE | 70.6 | 70.58601 | 2020-12-04T17:02:09.057+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105980 | 24619229 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2010 | SEX | FMLE | 72.3 | 72.26922 | 2020-12-04T17:02:09.167+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105981 | 24619233 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2015 | SEX | FMLE | 73.6 | 73.55218 | 2020-12-04T17:02:09.26+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105982 | 24619237 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2019 | SEX | FMLE | 74.3 | 74.31212 | 2020-12-04T17:02:09.353+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105975 | 24619209 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2000 | SEX | MLE | 68.1 | 68.06345 | 2020-12-04T17:02:08.63+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105976 | 24619213 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2010 | SEX | MLE | 71.1 | 71.06863 | 2020-12-04T17:02:08.723+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105977 | 24619217 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2015 | SEX | MLE | 71.4 | 71.37453 | 2020-12-04T17:02:08.867+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1105978 | 24619221 | WHOSIS_000001 | COUNTRY | MAR | YEAR | 2019 | SEX | MLE | 71.7 | 71.68313 | 2020-12-04T17:02:08.96+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. Марокко
| 2019 | 2015 | 2010 | 2000 | |
|---|---|---|---|---|
| Мужчины | 63.7 | 63.5 | 63.1 | 60.7 |
| Женщины | 63.7 | 63.1 | 62.1 | 60.7 |
| Оба пола | 63.7 | 63.3 | 62.5 | 60.7 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1108311 | 24619242 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | 60.7 | 60.68798 | 2020-12-04T17:02:09.497+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108312 | 24619246 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | 62.5 | 62.53345 | 2020-12-04T17:02:09.59+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108313 | 24619250 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | 63.3 | 63.28651 | 2020-12-04T17:02:09.683+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108314 | 24619254 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | 63.7 | 63.68608 | 2020-12-04T17:02:09.78+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108307 | 24619226 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2000 | SEX | FMLE | 60.7 | 60.71688 | 2020-12-04T17:02:09.07+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108308 | 24619230 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2010 | SEX | FMLE | 62.1 | 62.11563 | 2020-12-04T17:02:09.18+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108309 | 24619234 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2015 | SEX | FMLE | 63.1 | 63.13969 | 2020-12-04T17:02:09.277+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108310 | 24619238 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2019 | SEX | FMLE | 63.7 | 63.70247 | 2020-12-04T17:02:09.387+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108303 | 24619210 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2000 | SEX | MLE | 60.7 | 60.67308 | 2020-12-04T17:02:08.647+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108304 | 24619214 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2010 | SEX | MLE | 63.1 | 63.10049 | 2020-12-04T17:02:08.74+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108305 | 24619218 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2015 | SEX | MLE | 63.5 | 63.4789 | 2020-12-04T17:02:08.883+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 1108306 | 24619222 | WHOSIS_000002 | COUNTRY | MAR | YEAR | 2019 | SEX | MLE | 63.7 | 63.72063 | 2020-12-04T17:02:08.993+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Марокко
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 73 | 72 | 72 | 71 | 69 |
| 1-4 года | 73 | 73 | 73 | 72 | 72 |
| 5-9 лет | 70 | 69 | 69 | 69 | 68 |
| 10-14 лет | 65 | 64 | 64 | 64 | 63 |
| 15-19 лет | 60 | 59 | 59 | 59 | 58 |
| 20-24 года | 55 | 55 | 54 | 54 | 54 |
| 25-29 лет | 50 | 50 | 50 | 49 | 49 |
| 30-34 года | 45 | 45 | 45 | 45 | 44 |
| 35-39 лет | 41 | 40 | 40 | 40 | 40 |
| 40-44 года | 36 | 36 | 36 | 36 | 35 |
| 45-49 лет | 31 | 31 | 31 | 31 | 31 |
| 50-54 года | 27 | 27 | 27 | 27 | 26 |
| 55-59 лет | 23 | 22 | 23 | 23 | 22 |
| 60-64 года | 19 | 19 | 19 | 19 | 18 |
| 65-69 лет | 15 | 15 | 15 | 15 | 15 |
| 70-74 года | 12 | 12 | 12 | 12 | 12 |
| 75-79 лет | 9 | 9 | 9 | 9 | 9 |
| 80-84 года | 7 | 7 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1133083 | 24813440 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 71.53518441 | 71.53518 | 2020-12-06T12:16:40.153+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133082 | 24813439 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 69.34715038 | 69.34715 | 2020-12-06T12:16:40.123+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133100 | 24813457 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.158712101 | 5.15871 | 2020-12-06T12:16:40.69+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133099 | 24813456 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.038972356 | 7.03897 | 2020-12-06T12:16:40.66+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133098 | 24813455 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.221559724 | 9.22156 | 2020-12-06T12:16:40.63+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133097 | 24813454 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.88837714 | 11.88838 | 2020-12-06T12:16:40.613+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133096 | 24813453 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.97014533 | 14.97015 | 2020-12-06T12:16:40.58+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133095 | 24813452 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.41214995 | 18.41215 | 2020-12-06T12:16:40.533+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133094 | 24813451 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.31182788 | 22.31183 | 2020-12-06T12:16:40.41+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133093 | 24813450 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.47830206 | 26.4783 | 2020-12-06T12:16:40.38+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133091 | 24813448 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.28731663 | 35.28732 | 2020-12-06T12:16:40.343+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133092 | 24813449 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.83177945 | 30.83178 | 2020-12-06T12:16:40.363+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133084 | 24813441 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 68.10612082 | 68.10612 | 2020-12-06T12:16:40.17+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133085 | 24813442 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 63.34770141 | 63.3477 | 2020-12-06T12:16:40.2+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133086 | 24813443 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 58.4776738 | 58.47767 | 2020-12-06T12:16:40.217+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133087 | 24813444 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 53.72843861 | 53.72844 | 2020-12-06T12:16:40.25+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133088 | 24813445 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 49.0743502 | 49.07435 | 2020-12-06T12:16:40.263+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133089 | 24813446 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 44.44261557 | 44.44262 | 2020-12-06T12:16:40.297+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133090 | 24813447 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 39.83798297 | 39.83798 | 2020-12-06T12:16:40.31+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1133119 | 24813476 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.273249302 | 5.27325 | 2020-12-06T12:16:41.143+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133118 | 24813475 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.258475019 | 7.25848 | 2020-12-06T12:16:41.113+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133117 | 24813474 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.329500368 | 9.3295 | 2020-12-06T12:16:41.083+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133116 | 24813473 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.96871633 | 11.96872 | 2020-12-06T12:16:41.067+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133115 | 24813472 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 15.08618281 | 15.08618 | 2020-12-06T12:16:41.037+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133114 | 24813471 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.63614023 | 18.63614 | 2020-12-06T12:16:41.02+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133113 | 24813470 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.55703679 | 22.55704 | 2020-12-06T12:16:40.99+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133112 | 24813469 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.71215788 | 26.71216 | 2020-12-06T12:16:40.973+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133111 | 24813468 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 31.0766488 | 31.07665 | 2020-12-06T12:16:40.94+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133109 | 24813466 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 40.14686614 | 40.14687 | 2020-12-06T12:16:40.893+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133108 | 24813465 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 44.77442494 | 44.77442 | 2020-12-06T12:16:40.88+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133107 | 24813464 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 49.44154107 | 49.44154 | 2020-12-06T12:16:40.847+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133106 | 24813463 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 54.14113652 | 54.14114 | 2020-12-06T12:16:40.83+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133105 | 24813462 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 58.91850574 | 58.91851 | 2020-12-06T12:16:40.817+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133104 | 24813461 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 63.81768024 | 63.81768 | 2020-12-06T12:16:40.787+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133103 | 24813460 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 68.62685932 | 68.62686 | 2020-12-06T12:16:40.753+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133102 | 24813459 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 72.19792169 | 72.19792 | 2020-12-06T12:16:40.737+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133101 | 24813458 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 70.81539645 | 70.8154 | 2020-12-06T12:16:40.707+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133110 | 24813467 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.56730942 | 35.56731 | 2020-12-06T12:16:40.927+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1133129 | 24813486 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.731393 | 35.73139 | 2020-12-06T12:16:41.397+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133130 | 24813487 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 31.21161987 | 31.21162 | 2020-12-06T12:16:41.427+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133131 | 24813488 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.83273794 | 26.83274 | 2020-12-06T12:16:41.443+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133132 | 24813489 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.66074844 | 22.66075 | 2020-12-06T12:16:41.46+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133133 | 24813490 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.71815844 | 18.71816 | 2020-12-06T12:16:41.49+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133134 | 24813491 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 15.10097581 | 15.10098 | 2020-12-06T12:16:41.503+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133135 | 24813492 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.9478107 | 11.94781 | 2020-12-06T12:16:41.537+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133136 | 24813493 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.260904569 | 9.2609 | 2020-12-06T12:16:41.553+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133137 | 24813494 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.158785486 | 7.15879 | 2020-12-06T12:16:41.57+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133138 | 24813495 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.118111849 | 5.11811 | 2020-12-06T12:16:41.6+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133127 | 24813484 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 44.98920623 | 44.98921 | 2020-12-06T12:16:41.35+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133126 | 24813483 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 49.68333557 | 49.68334 | 2020-12-06T12:16:41.3+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133125 | 24813482 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 54.41290629 | 54.41291 | 2020-12-06T12:16:41.287+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133124 | 24813481 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 59.21235249 | 59.21235 | 2020-12-06T12:16:41.253+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133123 | 24813480 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 64.13311025 | 64.13311 | 2020-12-06T12:16:41.24+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133122 | 24813479 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 68.98211509 | 68.98212 | 2020-12-06T12:16:41.207+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133121 | 24813478 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 72.65107563 | 72.65108 | 2020-12-06T12:16:41.19+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133120 | 24813477 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 71.59913039 | 71.59913 | 2020-12-06T12:16:41.16+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133128 | 24813485 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 40.33422037 | 40.33422 | 2020-12-06T12:16:41.38+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1133149 | 24813506 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 31.08292293 | 31.08292 | 2020-12-06T12:16:41.867+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133153 | 24813510 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 14.95878701 | 14.95879 | 2020-12-06T12:16:41.977+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133150 | 24813507 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.67092743 | 26.67093 | 2020-12-06T12:16:41.9+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133151 | 24813508 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.47482702 | 22.47483 | 2020-12-06T12:16:41.913+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133152 | 24813509 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.54361124 | 18.54361 | 2020-12-06T12:16:41.947+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133154 | 24813511 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.75524199 | 11.75524 | 2020-12-06T12:16:41.993+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133155 | 24813512 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 8.97627385 | 8.97627 | 2020-12-06T12:16:42.027+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133156 | 24813513 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.642638452 | 6.64264 | 2020-12-06T12:16:42.057+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133157 | 24813514 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.706036867 | 4.70604 | 2020-12-06T12:16:42.073+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133147 | 24813504 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 40.34262964 | 40.34263 | 2020-12-06T12:16:41.82+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133148 | 24813505 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.65809039 | 35.65809 | 2020-12-06T12:16:41.85+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133139 | 24813496 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 72.46462258 | 72.46462 | 2020-12-06T12:16:41.613+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133140 | 24813497 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 72.98481287 | 72.98481 | 2020-12-06T12:16:41.647+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133141 | 24813498 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 69.24876669 | 69.24877 | 2020-12-06T12:16:41.663+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133142 | 24813499 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 64.37301375 | 64.37301 | 2020-12-06T12:16:41.693+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133143 | 24813500 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 59.4393016 | 59.4393 | 2020-12-06T12:16:41.727+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133144 | 24813501 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 54.6339219 | 54.63392 | 2020-12-06T12:16:41.74+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133145 | 24813502 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 49.86475249 | 49.86475 | 2020-12-06T12:16:41.773+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133146 | 24813503 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 45.09098029 | 45.09098 | 2020-12-06T12:16:41.79+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1133176 | 24813533 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.798215776 | 4.79822 | 2020-12-06T12:16:42.53+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133175 | 24813532 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.752947415 | 6.75295 | 2020-12-06T12:16:42.5+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133174 | 24813531 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.109011602 | 9.10901 | 2020-12-06T12:16:42.467+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133173 | 24813530 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 11.87954933 | 11.87955 | 2020-12-06T12:16:42.45+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133172 | 24813529 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 15.09801826 | 15.09802 | 2020-12-06T12:16:42.437+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133171 | 24813528 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 18.67064475 | 18.67064 | 2020-12-06T12:16:42.403+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133170 | 24813527 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.59594922 | 22.59595 | 2020-12-06T12:16:42.39+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133169 | 24813526 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.8136764 | 26.81368 | 2020-12-06T12:16:42.357+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133168 | 24813525 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 31.25737449 | 31.25737 | 2020-12-06T12:16:42.34+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133167 | 24813524 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.87292711 | 35.87293 | 2020-12-06T12:16:42.31+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133166 | 24813523 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 40.59716442 | 40.59716 | 2020-12-06T12:16:42.293+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133165 | 24813522 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 45.37934587 | 45.37935 | 2020-12-06T12:16:42.263+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133164 | 24813521 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 50.1835308 | 50.18353 | 2020-12-06T12:16:42.247+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133163 | 24813520 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 54.98059946 | 54.9806 | 2020-12-06T12:16:42.217+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133162 | 24813519 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 59.80010728 | 59.80011 | 2020-12-06T12:16:42.2+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133161 | 24813518 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 64.73913215 | 64.73913 | 2020-12-06T12:16:42.17+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133160 | 24813517 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 69.63166909 | 69.63167 | 2020-12-06T12:16:42.137+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133159 | 24813516 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 73.40845016 | 73.40845 | 2020-12-06T12:16:42.12+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1133158 | 24813515 | LIFE_0000000035 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 72.98804275 | 72.98804 | 2020-12-06T12:16:42.103+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). Марокко
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
| 1-4 года | 98'083 | 97'937 | 97'203 | 96'732 | 95'587 |
| 5-9 лет | 97'779 | 97'576 | 96'752 | 96'148 | 94'813 |
| 10-14 лет | 97'623 | 97'395 | 96'533 | 95'871 | 94'465 |
| 15-19 лет | 97'528 | 97'291 | 96'409 | 95'713 | 94'263 |
| 20-24 года | 97'221 | 96'959 | 96'069 | 95'337 | 93'843 |
| 25-29 лет | 96'847 | 96'532 | 95'571 | 94'786 | 93'214 |
| 30-34 года | 96'451 | 96'073 | 94'955 | 94'118 | 92'482 |
| 35-39 лет | 95'963 | 95'509 | 94'191 | 93'297 | 91'619 |
| 40-44 года | 95'274 | 94'719 | 93'212 | 92'266 | 90'529 |
| 45-49 лет | 94'189 | 93'521 | 91'884 | 90'866 | 89'050 |
| 50-54 года | 92'401 | 91'636 | 89'939 | 88'890 | 87'064 |
| 55-59 лет | 89'521 | 88'686 | 86'979 | 85'892 | 84'139 |
| 60-64 года | 84'977 | 84'182 | 82'644 | 81'507 | 79'712 |
| 65-69 лет | 78'084 | 77'358 | 76'151 | 74'787 | 72'603 |
| 70-74 года | 68'410 | 67'609 | 66'417 | 65'056 | 62'924 |
| 75-79 лет | 55'272 | 54'525 | 53'354 | 52'073 | 50'399 |
| 80-84 года | 39'479 | 38'623 | 37'347 | 36'443 | 35'513 |
| 85+ лет | 23'006 | 22'204 | 22'839 | 22'309 | 21'047 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1188725 | 24812585 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 95586.59113 | 95586.59113 | 2020-12-06T12:16:16.9+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188724 | 24812584 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:16:16.887+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188742 | 24812602 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 21046.9923 | 21046.9923 | 2020-12-06T12:16:17.33+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188741 | 24812601 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 35513.07255 | 35513.07255 | 2020-12-06T12:16:17.3+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188740 | 24812600 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 50398.75137 | 50398.75137 | 2020-12-06T12:16:17.27+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188739 | 24812599 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 62923.75834 | 62923.75834 | 2020-12-06T12:16:17.253+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188738 | 24812598 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 72603.0645 | 72603.0645 | 2020-12-06T12:16:17.22+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188737 | 24812597 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 79711.79839 | 79711.79839 | 2020-12-06T12:16:17.203+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188736 | 24812596 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 84138.88363 | 84138.88363 | 2020-12-06T12:16:17.187+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188735 | 24812595 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 87063.69173 | 87063.69173 | 2020-12-06T12:16:17.137+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188733 | 24812593 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 90529.22155 | 90529.22155 | 2020-12-06T12:16:17.09+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188734 | 24812594 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 89050.45874 | 89050.45874 | 2020-12-06T12:16:17.12+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188726 | 24812586 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 94812.56095 | 94812.56095 | 2020-12-06T12:16:16.933+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188727 | 24812587 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 94464.71473 | 94464.71473 | 2020-12-06T12:16:16.947+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188728 | 24812588 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 94263.36555 | 94263.36555 | 2020-12-06T12:16:16.98+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188729 | 24812589 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 93842.97445 | 93842.97445 | 2020-12-06T12:16:16.993+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188730 | 24812590 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 93213.56521 | 93213.56521 | 2020-12-06T12:16:17.027+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188731 | 24812591 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 92482.30371 | 92482.30371 | 2020-12-06T12:16:17.04+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188732 | 24812592 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 91618.67049 | 91618.67049 | 2020-12-06T12:16:17.073+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1188761 | 24812621 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22309.256 | 22309.256 | 2020-12-06T12:16:17.82+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188760 | 24812620 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 36443.48409 | 36443.48409 | 2020-12-06T12:16:17.803+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188759 | 24812619 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 52073.03755 | 52073.03755 | 2020-12-06T12:16:17.77+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188758 | 24812618 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 65056.12752 | 65056.12752 | 2020-12-06T12:16:17.757+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188757 | 24812617 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 74786.66635 | 74786.66635 | 2020-12-06T12:16:17.723+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188756 | 24812616 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 81507.22339 | 81507.22339 | 2020-12-06T12:16:17.71+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188755 | 24812615 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 85892.45364 | 85892.45364 | 2020-12-06T12:16:17.677+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188754 | 24812614 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 88889.65545 | 88889.65545 | 2020-12-06T12:16:17.66+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188753 | 24812613 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 90866.45068 | 90866.45068 | 2020-12-06T12:16:17.63+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188751 | 24812611 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 93296.51164 | 93296.51164 | 2020-12-06T12:16:17.57+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188750 | 24812610 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 94118.46165 | 94118.46165 | 2020-12-06T12:16:17.537+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188749 | 24812609 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 94785.89858 | 94785.89858 | 2020-12-06T12:16:17.503+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188748 | 24812608 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 95337.28295 | 95337.28295 | 2020-12-06T12:16:17.49+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188747 | 24812607 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 95713.48954 | 95713.48954 | 2020-12-06T12:16:17.457+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188746 | 24812606 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 95870.87253 | 95870.87253 | 2020-12-06T12:16:17.44+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188745 | 24812605 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 96147.52514 | 96147.52514 | 2020-12-06T12:16:17.41+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188744 | 24812604 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 96731.69661 | 96731.69661 | 2020-12-06T12:16:17.377+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188743 | 24812603 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:16:17.347+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188752 | 24812612 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 92266.07655 | 92266.07655 | 2020-12-06T12:16:17.6+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1188771 | 24812631 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 93212.09498 | 93212.09498 | 2020-12-06T12:16:18.1+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188772 | 24812632 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 91884.27529 | 91884.27529 | 2020-12-06T12:16:18.117+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188773 | 24812633 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 89938.63407 | 89938.63407 | 2020-12-06T12:16:18.15+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188774 | 24812634 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 86978.8599 | 86978.8599 | 2020-12-06T12:16:18.163+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188775 | 24812635 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 82644.25583 | 82644.25583 | 2020-12-06T12:16:18.197+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188776 | 24812636 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 76151.32534 | 76151.32534 | 2020-12-06T12:16:18.21+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188777 | 24812637 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 66417.05293 | 66417.05293 | 2020-12-06T12:16:18.243+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188778 | 24812638 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 53354.37763 | 53354.37763 | 2020-12-06T12:16:18.26+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188779 | 24812639 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 37346.70948 | 37346.70948 | 2020-12-06T12:16:18.29+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188780 | 24812640 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22839.03302 | 22839.03302 | 2020-12-06T12:16:18.307+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188769 | 24812629 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 94955.44011 | 94955.44011 | 2020-12-06T12:16:18.037+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188768 | 24812628 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 95570.99818 | 95570.99818 | 2020-12-06T12:16:18.007+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188767 | 24812627 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 96068.85504 | 96068.85504 | 2020-12-06T12:16:17.973+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188766 | 24812626 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 96408.58655 | 96408.58655 | 2020-12-06T12:16:17.943+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188765 | 24812625 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 96532.53995 | 96532.53995 | 2020-12-06T12:16:17.913+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188764 | 24812624 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 96751.78607 | 96751.78607 | 2020-12-06T12:16:17.897+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188763 | 24812623 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 97202.56967 | 97202.56967 | 2020-12-06T12:16:17.867+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188762 | 24812622 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:16:17.85+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188770 | 24812630 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 94190.60842 | 94190.60842 | 2020-12-06T12:16:18.07+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1188791 | 24812651 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 93520.76581 | 93520.76581 | 2020-12-06T12:16:18.57+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188795 | 24812655 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 77358.15468 | 77358.15468 | 2020-12-06T12:16:18.663+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188792 | 24812652 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 91635.64813 | 91635.64813 | 2020-12-06T12:16:18.603+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188793 | 24812653 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 88686.04372 | 88686.04372 | 2020-12-06T12:16:18.617+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188794 | 24812654 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 84181.76719 | 84181.76719 | 2020-12-06T12:16:18.65+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188796 | 24812656 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 67609.4291 | 67609.4291 | 2020-12-06T12:16:18.697+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188797 | 24812657 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 54524.8079 | 54524.8079 | 2020-12-06T12:16:18.727+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188798 | 24812658 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 38623.15998 | 38623.15998 | 2020-12-06T12:16:18.76+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188799 | 24812659 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22203.85361 | 22203.85361 | 2020-12-06T12:16:18.773+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188789 | 24812649 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 95508.57405 | 95508.57405 | 2020-12-06T12:16:18.523+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188790 | 24812650 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 94718.98512 | 94718.98512 | 2020-12-06T12:16:18.557+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188781 | 24812641 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:16:18.337+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188782 | 24812642 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 97936.90147 | 97936.90147 | 2020-12-06T12:16:18.353+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188783 | 24812643 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 97576.10225 | 97576.10225 | 2020-12-06T12:16:18.383+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188784 | 24812644 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 97394.81023 | 97394.81023 | 2020-12-06T12:16:18.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188785 | 24812645 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 97290.57765 | 97290.57765 | 2020-12-06T12:16:18.413+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188786 | 24812646 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 96959.16821 | 96959.16821 | 2020-12-06T12:16:18.447+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188787 | 24812647 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 96531.75967 | 96531.75967 | 2020-12-06T12:16:18.477+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188788 | 24812648 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 96072.88769 | 96072.88769 | 2020-12-06T12:16:18.51+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1188818 | 24812678 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 23005.72126 | 23005.72126 | 2020-12-06T12:16:19.227+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188817 | 24812677 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 39478.67241 | 39478.67241 | 2020-12-06T12:16:19.21+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188816 | 24812676 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 55272.11962 | 55272.11962 | 2020-12-06T12:16:19.18+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188815 | 24812675 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 68409.96893 | 68409.96893 | 2020-12-06T12:16:19.163+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188814 | 24812674 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 78084.06864 | 78084.06864 | 2020-12-06T12:16:19.133+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188813 | 24812673 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 84976.50446 | 84976.50446 | 2020-12-06T12:16:19.117+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188812 | 24812672 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 89520.89638 | 89520.89638 | 2020-12-06T12:16:19.103+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188811 | 24812671 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 92401.15865 | 92401.15865 | 2020-12-06T12:16:19.07+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188810 | 24812670 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 94188.62853 | 94188.62853 | 2020-12-06T12:16:19.057+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188809 | 24812669 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 95273.65687 | 95273.65687 | 2020-12-06T12:16:19.023+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188808 | 24812668 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 95963.28613 | 95963.28613 | 2020-12-06T12:16:18.993+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188807 | 24812667 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 96450.76053 | 96450.76053 | 2020-12-06T12:16:18.977+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188806 | 24812666 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 96846.84094 | 96846.84094 | 2020-12-06T12:16:18.947+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188805 | 24812665 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 97221.32713 | 97221.32713 | 2020-12-06T12:16:18.93+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188804 | 24812664 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 97527.56895 | 97527.56895 | 2020-12-06T12:16:18.9+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188803 | 24812663 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 97623.11586 | 97623.11586 | 2020-12-06T12:16:18.883+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188802 | 24812662 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 97779.38902 | 97779.38902 | 2020-12-06T12:16:18.853+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188801 | 24812661 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 98083.33947 | 98083.33947 | 2020-12-06T12:16:18.82+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1188800 | 24812660 | LIFE_0000000031 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:16:18.807+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Марокко: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Марокко
| 2013 |
|---|
| 6.4 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1043558 | 11082897 | WHS9_CDR | COUNTRY | MAR | YEAR | 2013 | 6.4 | 6.4 | 2015-06-17T11:45:35.53+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. Марокко
| 2015 |
|---|
| 30.46 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1043305 | 15728307 | MORTADO | COUNTRY | MAR | YEAR | 2015 | 30.5 | 30.46 | 2017-07-10T14:13:49.567+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). Марокко
| 2019 | 2015 | 2010 | 2005 | 2000 | |
|---|---|---|---|---|---|
| <1 года | 1'917 | 2'063 | 2'797 | 3'268 | 4'413 |
| 1-4 года | 304 | 361 | 451 | 584 | 774 |
| 5-9 лет | 156 | 181 | 219 | 277 | 348 |
| 10-14 лет | 96 | 104 | 124 | 157 | 201 |
| 15-19 лет | 306 | 331 | 340 | 376 | 420 |
| 20-24 года | 374 | 427 | 498 | 551 | 629 |
| 25-29 лет | 396 | 459 | 616 | 667 | 731 |
| 30-34 года | 487 | 564 | 765 | 822 | 864 |
| 35-39 лет | 690 | 790 | 979 | 1'030 | 1'089 |
| 40-44 года | 1'085 | 1'198 | 1'328 | 1'400 | 1'479 |
| 45-49 лет | 1'787 | 1'885 | 1'946 | 1'977 | 1'987 |
| 50-54 года | 2'880 | 2'950 | 2'960 | 2'997 | 2'925 |
| 55-59 лет | 4'544 | 4'504 | 4'335 | 4'385 | 4'427 |
| 60-64 года | 6'892 | 6'824 | 6'493 | 6'721 | 7'109 |
| 65-69 лет | 9'674 | 9'749 | 9'734 | 9'731 | 9'679 |
| 70-74 года | 13'138 | 13'085 | 13'063 | 12'983 | 12'525 |
| 75-79 лет | 15'793 | 15'902 | 16'008 | 15'630 | 14'886 |
| 80-84 года | 16'473 | 16'419 | 14'508 | 14'134 | 14'466 |
| 85+ лет | 23'006 | 22'204 | 22'839 | 22'309 | 21'047 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1065005 | 24812015 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 774.0301725 | 774.03017 | 2020-12-06T12:16:00.81+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065004 | 24812014 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 4413.408873 | 4413.40887 | 2020-12-06T12:16:00.777+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065022 | 24812032 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 21046.9923 | 21046.9923 | 2020-12-06T12:16:01.263+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065021 | 24812031 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 14466.08026 | 14466.08026 | 2020-12-06T12:16:01.23+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065020 | 24812030 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 14885.67882 | 14885.67882 | 2020-12-06T12:16:01.217+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065019 | 24812029 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 12525.00697 | 12525.00697 | 2020-12-06T12:16:01.183+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065018 | 24812028 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 9679.306163 | 9679.30616 | 2020-12-06T12:16:01.17+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065017 | 24812027 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 7108.733886 | 7108.73389 | 2020-12-06T12:16:01.137+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065016 | 24812026 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 4427.085244 | 4427.08524 | 2020-12-06T12:16:01.12+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065015 | 24812025 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 2924.808096 | 2924.8081 | 2020-12-06T12:16:01.09+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065013 | 24812023 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 1478.762804 | 1478.7628 | 2020-12-06T12:16:01.06+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065014 | 24812024 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 1986.767015 | 1986.76702 | 2020-12-06T12:16:01.073+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065006 | 24812016 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 347.8462284 | 347.84623 | 2020-12-06T12:16:00.87+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065007 | 24812017 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 201.349172 | 201.34917 | 2020-12-06T12:16:00.887+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065008 | 24812018 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 420.3911073 | 420.39111 | 2020-12-06T12:16:00.95+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065009 | 24812019 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 629.4092336 | 629.40923 | 2020-12-06T12:16:00.963+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065010 | 24812020 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 731.2615074 | 731.26151 | 2020-12-06T12:16:00.98+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065011 | 24812021 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 863.6332144 | 863.63321 | 2020-12-06T12:16:01.013+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065012 | 24812022 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 1089.448942 | 1089.44894 | 2020-12-06T12:16:01.027+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 1065041 | 24812051 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22309.256 | 22309.256 | 2020-12-06T12:16:01.723+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065040 | 24812050 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 14134.22809 | 14134.22809 | 2020-12-06T12:16:01.693+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065039 | 24812049 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 15629.55346 | 15629.55346 | 2020-12-06T12:16:01.66+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065038 | 24812048 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 12983.08997 | 12983.08997 | 2020-12-06T12:16:01.643+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065037 | 24812047 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 9730.538826 | 9730.53883 | 2020-12-06T12:16:01.61+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065036 | 24812046 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 6720.557043 | 6720.55704 | 2020-12-06T12:16:01.58+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065035 | 24812045 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 4385.230253 | 4385.23025 | 2020-12-06T12:16:01.563+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065034 | 24812044 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 2997.201811 | 2997.20181 | 2020-12-06T12:16:01.547+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065033 | 24812043 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 1976.795227 | 1976.79523 | 2020-12-06T12:16:01.517+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065031 | 24812041 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 1030.435085 | 1030.43509 | 2020-12-06T12:16:01.47+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065030 | 24812040 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 821.9500136 | 821.95001 | 2020-12-06T12:16:01.453+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065029 | 24812039 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 667.4369268 | 667.43693 | 2020-12-06T12:16:01.423+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065028 | 24812038 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 551.3843692 | 551.38437 | 2020-12-06T12:16:01.407+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065027 | 24812037 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 376.2065899 | 376.20659 | 2020-12-06T12:16:01.377+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065026 | 24812036 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 157.3829918 | 157.38299 | 2020-12-06T12:16:01.343+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065025 | 24812035 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 276.652611 | 276.65261 | 2020-12-06T12:16:01.33+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065024 | 24812034 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 584.1714667 | 584.17147 | 2020-12-06T12:16:01.31+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065023 | 24812033 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 3268.303393 | 3268.30339 | 2020-12-06T12:16:01.277+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065032 | 24812042 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 1399.625873 | 1399.62587 | 2020-12-06T12:16:01.5+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 1065051 | 24812061 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 1327.819695 | 1327.8197 | 2020-12-06T12:16:02.007+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065052 | 24812062 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 1945.641222 | 1945.64122 | 2020-12-06T12:16:02.023+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065053 | 24812063 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 2959.774168 | 2959.77417 | 2020-12-06T12:16:02.07+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065054 | 24812064 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 4334.604072 | 4334.60407 | 2020-12-06T12:16:02.1+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065055 | 24812065 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 6492.930486 | 6492.93049 | 2020-12-06T12:16:02.15+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065056 | 24812066 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 9734.272408 | 9734.27241 | 2020-12-06T12:16:02.18+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065057 | 24812067 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 13062.67531 | 13062.67531 | 2020-12-06T12:16:02.21+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065058 | 24812068 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 16007.66815 | 16007.66815 | 2020-12-06T12:16:02.227+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065059 | 24812069 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 14507.67646 | 14507.67646 | 2020-12-06T12:16:02.26+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065060 | 24812070 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22839.03302 | 22839.03302 | 2020-12-06T12:16:02.273+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065049 | 24812059 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 764.8316969 | 764.8317 | 2020-12-06T12:16:01.947+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065048 | 24812058 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 615.5580698 | 615.55807 | 2020-12-06T12:16:01.93+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065047 | 24812057 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 497.8568588 | 497.85686 | 2020-12-06T12:16:01.897+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065046 | 24812056 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 339.7315135 | 339.73151 | 2020-12-06T12:16:01.88+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065045 | 24812055 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 123.9533916 | 123.95339 | 2020-12-06T12:16:01.867+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065044 | 24812054 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 219.246126 | 219.24613 | 2020-12-06T12:16:01.833+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065043 | 24812053 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 450.7835944 | 450.78359 | 2020-12-06T12:16:01.803+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065042 | 24812052 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 2797.430333 | 2797.43033 | 2020-12-06T12:16:01.787+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065050 | 24812060 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 978.5134313 | 978.51343 | 2020-12-06T12:16:01.977+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 1065071 | 24812081 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 1885.117679 | 1885.11768 | 2020-12-06T12:16:02.54+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065075 | 24812085 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 9748.725589 | 9748.72559 | 2020-12-06T12:16:02.633+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065072 | 24812082 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 2949.604412 | 2949.60441 | 2020-12-06T12:16:02.557+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065073 | 24812083 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 4504.27653 | 4504.27653 | 2020-12-06T12:16:02.587+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065074 | 24812084 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 6823.612503 | 6823.6125 | 2020-12-06T12:16:02.603+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065076 | 24812086 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 13084.62119 | 13084.62119 | 2020-12-06T12:16:02.65+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065077 | 24812087 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 15901.64792 | 15901.64792 | 2020-12-06T12:16:02.68+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065078 | 24812088 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 16419.30638 | 16419.30638 | 2020-12-06T12:16:02.697+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065079 | 24812089 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22203.85361 | 22203.85361 | 2020-12-06T12:16:02.73+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065069 | 24812079 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 789.5889386 | 789.58894 | 2020-12-06T12:16:02.493+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065070 | 24812080 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 1198.219307 | 1198.21931 | 2020-12-06T12:16:02.51+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065061 | 24812071 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 2063.098528 | 2063.09853 | 2020-12-06T12:16:02.307+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065062 | 24812072 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 360.7992232 | 360.79922 | 2020-12-06T12:16:02.32+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065063 | 24812073 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 181.2920231 | 181.29202 | 2020-12-06T12:16:02.353+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065064 | 24812074 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 104.2325758 | 104.23258 | 2020-12-06T12:16:02.37+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065065 | 24812075 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 331.409444 | 331.40944 | 2020-12-06T12:16:02.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065066 | 24812076 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 427.4085351 | 427.40854 | 2020-12-06T12:16:02.417+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065067 | 24812077 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 458.8719849 | 458.87198 | 2020-12-06T12:16:02.43+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065068 | 24812078 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 564.3136309 | 564.31363 | 2020-12-06T12:16:02.463+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 1065098 | 24812108 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 23005.72126 | 23005.72126 | 2020-12-06T12:16:03.247+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065097 | 24812107 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 16472.95116 | 16472.95116 | 2020-12-06T12:16:03.213+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065096 | 24812106 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 15793.44721 | 15793.44721 | 2020-12-06T12:16:03.183+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065095 | 24812105 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 13137.8493 | 13137.8493 | 2020-12-06T12:16:03.167+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065094 | 24812104 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 9674.099714 | 9674.09971 | 2020-12-06T12:16:03.137+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065093 | 24812103 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 6892.435816 | 6892.43582 | 2020-12-06T12:16:03.12+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065092 | 24812102 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 4544.391919 | 4544.39192 | 2020-12-06T12:16:03.09+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065091 | 24812101 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 2880.26227 | 2880.26227 | 2020-12-06T12:16:03.073+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065090 | 24812100 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 1787.469883 | 1787.46988 | 2020-12-06T12:16:03.04+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065089 | 24812099 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 1085.028337 | 1085.02834 | 2020-12-06T12:16:03.027+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065088 | 24812098 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 689.6292642 | 689.62926 | 2020-12-06T12:16:02.993+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065087 | 24812097 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 487.4744044 | 487.4744 | 2020-12-06T12:16:02.963+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065086 | 24812096 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 396.0804105 | 396.08041 | 2020-12-06T12:16:02.947+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065085 | 24812095 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 374.4861802 | 374.48618 | 2020-12-06T12:16:02.917+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065084 | 24812094 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 306.2418263 | 306.24183 | 2020-12-06T12:16:02.9+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065083 | 24812093 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 95.5469108 | 95.54691 | 2020-12-06T12:16:02.87+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065082 | 24812092 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 156.2731601 | 156.27316 | 2020-12-06T12:16:02.853+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065081 | 24812091 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 303.9504465 | 303.95045 | 2020-12-06T12:16:02.823+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 1065080 | 24812090 | LIFE_0000000032 | COUNTRY | MAR | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1916.660531 | 1916.66053 | 2020-12-06T12:16:02.743+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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