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.
Гватемала: Индикаторы продолжительности жизни
Ожидаемая продолжительность жизни при рождении, лет. Гватемала
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 69.0 | 67.8 | 65.8 | 63.3 |
Женщины | 75.0 | 74.0 | 72.8 | 70.3 |
Оба пола | 72.0 | 70.9 | 69.3 | 66.8 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1105575 | 24617609 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | 66.8 | 66.78309 | 2020-12-04T17:01:19.943+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1105576 | 24617613 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | 69.3 | 69.3014 | 2020-12-04T17:01:20.04+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1105577 | 24617617 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | 70.9 | 70.94937 | 2020-12-04T17:01:20.147+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1105578 | 24617621 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | 72.0 | 72.01939 | 2020-12-04T17:01:20.24+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1105571 | 24617593 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2000 | SEX | FMLE | 70.3 | 70.2701 | 2020-12-04T17:01:19.503+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1105572 | 24617597 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2010 | SEX | FMLE | 72.8 | 72.76701 | 2020-12-04T17:01:19.66+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1105573 | 24617601 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2015 | SEX | FMLE | 74.0 | 74.00925 | 2020-12-04T17:01:19.74+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1105574 | 24617605 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2019 | SEX | FMLE | 75.0 | 75.04476 | 2020-12-04T17:01:19.833+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1105567 | 24617577 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2000 | SEX | MLE | 63.3 | 63.31877 | 2020-12-04T17:01:19.047+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1105568 | 24617581 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2010 | SEX | MLE | 65.8 | 65.81696 | 2020-12-04T17:01:19.17+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1105569 | 24617585 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2015 | SEX | MLE | 67.8 | 67.84525 | 2020-12-04T17:01:19.28+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1105570 | 24617589 | WHOSIS_000001 | COUNTRY | GTM | YEAR | 2019 | SEX | MLE | 69.0 | 68.95307 | 2020-12-04T17:01:19.407+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. Гватемала
2019 | 2015 | 2010 | 2000 | |
---|---|---|---|---|
Мужчины | 60.5 | 59.6 | 57.8 | 55.6 |
Женщины | 64.1 | 63.4 | 62.3 | 60.1 |
Оба пола | 62.3 | 61.5 | 60.1 | 57.8 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1107903 | 24617610 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | 57.8 | 57.84315 | 2020-12-04T17:01:19.977+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1107904 | 24617614 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | 60.1 | 60.08616 | 2020-12-04T17:01:20.07+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1107905 | 24617618 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | 61.5 | 61.47687 | 2020-12-04T17:01:20.163+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1107906 | 24617622 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | 62.3 | 62.30202 | 2020-12-04T17:01:20.257+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1107899 | 24617594 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2000 | SEX | FMLE | 60.1 | 60.07415 | 2020-12-04T17:01:19.55+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1107900 | 24617598 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2010 | SEX | FMLE | 62.3 | 62.32064 | 2020-12-04T17:01:19.673+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1107901 | 24617602 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2015 | SEX | FMLE | 63.4 | 63.37193 | 2020-12-04T17:01:19.77+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1107902 | 24617606 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2019 | SEX | FMLE | 64.1 | 64.12106 | 2020-12-04T17:01:19.88+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||||
1107895 | 24617578 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2000 | SEX | MLE | 55.6 | 55.60092 | 2020-12-04T17:01:19.093+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
1107896 | 24617582 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2010 | SEX | MLE | 57.8 | 57.82932 | 2020-12-04T17:01:19.203+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
1107897 | 24617586 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2015 | SEX | MLE | 59.6 | 59.55011 | 2020-12-04T17:01:19.343+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
1107898 | 24617590 | WHOSIS_000002 | COUNTRY | GTM | YEAR | 2019 | SEX | MLE | 60.5 | 60.46133 | 2020-12-04T17:01:19.423+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Ожидаемая продолжительность жизни по возрастам. Гватемала
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 72 | 71 | 69 | 68 | 67 |
1-4 года | 73 | 72 | 70 | 69 | 69 |
5-9 лет | 69 | 68 | 67 | 66 | 65 |
10-14 лет | 64 | 63 | 62 | 61 | 61 |
15-19 лет | 59 | 58 | 57 | 56 | 56 |
20-24 года | 54 | 54 | 53 | 52 | 51 |
25-29 лет | 50 | 49 | 48 | 47 | 47 |
30-34 года | 46 | 45 | 44 | 43 | 43 |
35-39 лет | 41 | 40 | 40 | 39 | 39 |
40-44 года | 37 | 36 | 35 | 35 | 35 |
45-49 лет | 32 | 32 | 31 | 31 | 31 |
50-54 года | 28 | 27 | 27 | 27 | 27 |
55-59 лет | 24 | 24 | 23 | 23 | 23 |
60-64 года | 20 | 20 | 20 | 19 | 19 |
65-69 лет | 17 | 16 | 16 | 16 | 16 |
70-74 года | 14 | 13 | 13 | 12 | 12 |
75-79 лет | 11 | 10 | 10 | 9 | 9 |
80-84 года | 8 | 7 | 7 | 6 | 6 |
85+ лет | 5 | 5 | 4 | 4 | 4 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1145338 | 24899225 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 68.67662891 | 68.67663 | 2020-12-06T12:56:44.377+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145337 | 24899224 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 66.78308917 | 66.78309 | 2020-12-06T12:56:44.347+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145355 | 24899242 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 3.834298361 | 3.8343 | 2020-12-06T12:56:44.787+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145354 | 24899241 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.280902237 | 6.2809 | 2020-12-06T12:56:44.757+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145353 | 24899240 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.076173291 | 9.07617 | 2020-12-06T12:56:44.74+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145352 | 24899239 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 12.15974322 | 12.15974 | 2020-12-06T12:56:44.71+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145351 | 24899238 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 15.55202257 | 15.55202 | 2020-12-06T12:56:44.693+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145350 | 24899237 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 19.11468697 | 19.11469 | 2020-12-06T12:56:44.66+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145349 | 24899236 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.82974233 | 22.82974 | 2020-12-06T12:56:44.647+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145348 | 24899235 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.58803925 | 26.58804 | 2020-12-06T12:56:44.613+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145346 | 24899233 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.51951538 | 34.51952 | 2020-12-06T12:56:44.567+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145347 | 24899234 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.54439285 | 30.54439 | 2020-12-06T12:56:44.58+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145339 | 24899226 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 65.46907555 | 65.46908 | 2020-12-06T12:56:44.41+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145340 | 24899227 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 60.68964367 | 60.68964 | 2020-12-06T12:56:44.427+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145341 | 24899228 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 55.8685336 | 55.86853 | 2020-12-06T12:56:44.44+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145342 | 24899229 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 51.28526497 | 51.28526 | 2020-12-06T12:56:44.473+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145343 | 24899230 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 46.93998101 | 46.93998 | 2020-12-06T12:56:44.487+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145344 | 24899231 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 42.69637744 | 42.69638 | 2020-12-06T12:56:44.52+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145345 | 24899232 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 38.53152776 | 38.53153 | 2020-12-06T12:56:44.533+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1145374 | 24899261 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 3.953735963 | 3.95374 | 2020-12-06T12:56:45.243+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145373 | 24899260 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.485326228 | 6.48533 | 2020-12-06T12:56:45.21+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145372 | 24899259 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.273103214 | 9.2731 | 2020-12-06T12:56:45.197+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145371 | 24899258 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 12.42460843 | 12.42461 | 2020-12-06T12:56:45.163+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145370 | 24899257 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 15.71985881 | 15.71986 | 2020-12-06T12:56:45.15+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145369 | 24899256 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 19.24613596 | 19.24614 | 2020-12-06T12:56:45.133+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145368 | 24899255 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 22.80869402 | 22.80869 | 2020-12-06T12:56:45.1+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145367 | 24899254 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 26.68754063 | 26.68754 | 2020-12-06T12:56:45.087+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145366 | 24899253 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 30.64871292 | 30.64871 | 2020-12-06T12:56:45.053+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145364 | 24899251 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 38.74676556 | 38.74677 | 2020-12-06T12:56:45.007+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145363 | 24899250 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 42.96800975 | 42.96801 | 2020-12-06T12:56:44.99+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145362 | 24899249 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 47.20308788 | 47.20309 | 2020-12-06T12:56:44.96+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145361 | 24899248 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 51.50573572 | 51.50574 | 2020-12-06T12:56:44.943+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145360 | 24899247 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 56.00709992 | 56.0071 | 2020-12-06T12:56:44.913+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145359 | 24899246 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 60.83089995 | 60.8309 | 2020-12-06T12:56:44.897+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145358 | 24899245 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 65.63810793 | 65.63811 | 2020-12-06T12:56:44.867+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145357 | 24899244 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 69.0526015 | 69.0526 | 2020-12-06T12:56:44.85+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145356 | 24899243 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 67.71918753 | 67.71919 | 2020-12-06T12:56:44.817+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145365 | 24899252 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 34.6503165 | 34.65032 | 2020-12-06T12:56:45.04+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1145384 | 24899271 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.29509557 | 35.2951 | 2020-12-06T12:56:45.463+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145385 | 24899272 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 31.12200083 | 31.122 | 2020-12-06T12:56:45.493+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145386 | 24899273 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 27.11749199 | 27.11749 | 2020-12-06T12:56:45.51+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145387 | 24899274 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 23.27495276 | 23.27495 | 2020-12-06T12:56:45.54+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145388 | 24899275 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 19.55190695 | 19.55191 | 2020-12-06T12:56:45.573+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145389 | 24899276 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 16.14406488 | 16.14406 | 2020-12-06T12:56:45.59+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145390 | 24899277 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 12.86682292 | 12.86682 | 2020-12-06T12:56:45.637+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145391 | 24899278 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 9.795490032 | 9.79549 | 2020-12-06T12:56:45.65+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145392 | 24899279 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 6.855293228 | 6.85529 | 2020-12-06T12:56:45.667+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145393 | 24899280 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.470719259 | 4.47072 | 2020-12-06T12:56:45.697+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145382 | 24899269 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 43.8234475 | 43.82345 | 2020-12-06T12:56:45.417+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145381 | 24899268 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 48.17355635 | 48.17356 | 2020-12-06T12:56:45.4+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145380 | 24899267 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 52.56758873 | 52.56759 | 2020-12-06T12:56:45.37+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145379 | 24899266 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 57.1289627 | 57.12896 | 2020-12-06T12:56:45.353+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145378 | 24899265 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 61.9874381 | 61.98744 | 2020-12-06T12:56:45.337+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145377 | 24899264 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 66.8484247 | 66.84842 | 2020-12-06T12:56:45.307+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145376 | 24899263 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 70.414396 | 70.4144 | 2020-12-06T12:56:45.29+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145375 | 24899262 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 69.30140028 | 69.3014 | 2020-12-06T12:56:45.26+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145383 | 24899270 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 39.54526758 | 39.54527 | 2020-12-06T12:56:45.447+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1145404 | 24899291 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 31.58428005 | 31.58428 | 2020-12-06T12:56:45.963+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145408 | 24899295 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 16.3322362 | 16.33224 | 2020-12-06T12:56:46.06+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145405 | 24899292 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 27.45503507 | 27.45504 | 2020-12-06T12:56:45.98+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145406 | 24899293 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 23.56107844 | 23.56108 | 2020-12-06T12:56:46.013+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145407 | 24899294 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 19.85056894 | 19.85057 | 2020-12-06T12:56:46.03+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145409 | 24899296 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 13.22402444 | 13.22402 | 2020-12-06T12:56:46.09+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145410 | 24899297 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 10.18057661 | 10.18058 | 2020-12-06T12:56:46.107+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145411 | 24899298 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.426450256 | 7.42645 | 2020-12-06T12:56:46.14+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145412 | 24899299 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 4.942601147 | 4.9426 | 2020-12-06T12:56:46.153+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145402 | 24899289 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 40.17356965 | 40.17357 | 2020-12-06T12:56:45.903+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145403 | 24899290 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 35.84965414 | 35.84965 | 2020-12-06T12:56:45.933+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145394 | 24899281 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 70.94937409 | 70.94937 | 2020-12-06T12:56:45.713+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145395 | 24899282 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 71.61260166 | 71.6126 | 2020-12-06T12:56:45.76+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145396 | 24899283 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 67.94507279 | 67.94507 | 2020-12-06T12:56:45.777+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145397 | 24899284 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 63.06494783 | 63.06495 | 2020-12-06T12:56:45.793+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145398 | 24899285 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 58.19802268 | 58.19802 | 2020-12-06T12:56:45.823+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145399 | 24899286 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 53.60138805 | 53.60139 | 2020-12-06T12:56:45.84+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145400 | 24899287 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 49.120417 | 49.12042 | 2020-12-06T12:56:45.87+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145401 | 24899288 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 44.62082414 | 44.62082 | 2020-12-06T12:56:45.887+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1145431 | 24899318 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 5.447213394 | 5.44721 | 2020-12-06T12:56:46.69+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145430 | 24899317 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 7.929559385 | 7.92956 | 2020-12-06T12:56:46.66+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145429 | 24899316 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 10.69233201 | 10.69233 | 2020-12-06T12:56:46.643+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145428 | 24899315 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 13.86014658 | 13.86015 | 2020-12-06T12:56:46.563+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145427 | 24899314 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 16.9152713 | 16.91527 | 2020-12-06T12:56:46.547+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145426 | 24899313 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 20.47425981 | 20.47426 | 2020-12-06T12:56:46.483+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145425 | 24899312 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 24.10179063 | 24.10179 | 2020-12-06T12:56:46.453+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145424 | 24899311 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 28.05640974 | 28.05641 | 2020-12-06T12:56:46.437+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145423 | 24899310 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 32.27367984 | 32.27368 | 2020-12-06T12:56:46.407+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145422 | 24899309 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 36.60733983 | 36.60734 | 2020-12-06T12:56:46.39+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145421 | 24899308 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 41.01263391 | 41.01263 | 2020-12-06T12:56:46.357+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145420 | 24899307 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 45.50086783 | 45.50087 | 2020-12-06T12:56:46.343+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145419 | 24899306 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 49.95103145 | 49.95103 | 2020-12-06T12:56:46.327+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145418 | 24899305 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 54.42672443 | 54.42672 | 2020-12-06T12:56:46.297+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145417 | 24899304 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 59.03063393 | 59.03063 | 2020-12-06T12:56:46.28+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145416 | 24899303 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 63.90389426 | 63.90389 | 2020-12-06T12:56:46.25+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145415 | 24899302 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 68.79679532 | 68.7968 | 2020-12-06T12:56:46.233+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145414 | 24899301 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 72.52269645 | 72.5227 | 2020-12-06T12:56:46.2+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1145413 | 24899300 | LIFE_0000000035 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 72.01939038 | 72.01939 | 2020-12-06T12:56:46.187+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). Гватемала
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 100'000 | 100'000 | 100'000 | 100'000 | 100'000 |
1-4 года | 97'953 | 97'706 | 97'037 | 96'664 | 95'841 |
5-9 лет | 97'575 | 97'245 | 96'429 | 95'832 | 94'722 |
10-14 лет | 97'418 | 97'067 | 96'221 | 95'541 | 94'392 |
15-19 лет | 97'217 | 96'854 | 95'993 | 95'253 | 94'102 |
20-24 года | 96'541 | 96'158 | 95'228 | 94'374 | 93'373 |
25-29 лет | 95'576 | 95'191 | 94'089 | 93'049 | 92'137 |
30-34 года | 94'481 | 94'180 | 92'769 | 91'484 | 90'595 |
35-39 лет | 93'370 | 92'960 | 91'177 | 89'757 | 88'751 |
40-44 года | 91'950 | 91'321 | 89'368 | 87'574 | 86'382 |
45-49 лет | 90'188 | 89'353 | 87'170 | 84'936 | 83'703 |
50-54 года | 87'878 | 86'755 | 84'240 | 81'913 | 80'700 |
55-59 лет | 84'424 | 83'073 | 80'457 | 78'284 | 76'744 |
60-64 года | 79'381 | 78'281 | 75'798 | 73'110 | 72'181 |
65-69 лет | 73'489 | 72'122 | 69'325 | 67'196 | 66'434 |
70-74 года | 64'753 | 63'445 | 61'553 | 59'521 | 59'148 |
75-79 лет | 55'760 | 53'655 | 51'898 | 50'175 | 49'356 |
80-84 года | 43'799 | 41'516 | 40'471 | 37'822 | 36'964 |
85+ лет | 29'924 | 27'480 | 25'286 | 23'356 | 22'064 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1200980 | 24898370 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 95841.21882 | 95841.21882 | 2020-12-06T12:56:20.37+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200979 | 24898369 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:56:20.34+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200997 | 24898387 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22063.54115 | 22063.54115 | 2020-12-06T12:56:20.857+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200996 | 24898386 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 36963.9424 | 36963.9424 | 2020-12-06T12:56:20.827+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200995 | 24898385 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 49356.47985 | 49356.47985 | 2020-12-06T12:56:20.793+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200994 | 24898384 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 59148.48363 | 59148.48363 | 2020-12-06T12:56:20.763+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200993 | 24898383 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 66434.26929 | 66434.26929 | 2020-12-06T12:56:20.733+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200992 | 24898382 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 72181.49405 | 72181.49405 | 2020-12-06T12:56:20.717+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200991 | 24898381 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 76743.737 | 76743.737 | 2020-12-06T12:56:20.687+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200990 | 24898380 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 80699.76403 | 80699.76403 | 2020-12-06T12:56:20.653+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200988 | 24898378 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 86382.087 | 86382.087 | 2020-12-06T12:56:20.59+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200989 | 24898379 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 83702.93186 | 83702.93186 | 2020-12-06T12:56:20.623+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200981 | 24898371 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 94722.16642 | 94722.16642 | 2020-12-06T12:56:20.403+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200982 | 24898372 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 94391.53171 | 94391.53171 | 2020-12-06T12:56:20.433+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200983 | 24898373 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 94102.23723 | 94102.23723 | 2020-12-06T12:56:20.467+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200984 | 24898374 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 93373.1276 | 93373.1276 | 2020-12-06T12:56:20.497+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200985 | 24898375 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 92136.62058 | 92136.62058 | 2020-12-06T12:56:20.513+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200986 | 24898376 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 90594.64278 | 90594.64278 | 2020-12-06T12:56:20.543+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1200987 | 24898377 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 88750.69131 | 88750.69131 | 2020-12-06T12:56:20.577+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1201016 | 24898406 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 23355.96573 | 23355.96573 | 2020-12-06T12:56:21.327+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201015 | 24898405 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 37822.05706 | 37822.05706 | 2020-12-06T12:56:21.31+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201014 | 24898404 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 50175.4529 | 50175.4529 | 2020-12-06T12:56:21.28+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201013 | 24898403 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 59520.81538 | 59520.81538 | 2020-12-06T12:56:21.263+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201012 | 24898402 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 67196.24433 | 67196.24433 | 2020-12-06T12:56:21.233+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201011 | 24898401 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 73109.76617 | 73109.76617 | 2020-12-06T12:56:21.217+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201010 | 24898400 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 78284.44872 | 78284.44872 | 2020-12-06T12:56:21.187+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201009 | 24898399 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 81913.12996 | 81913.12996 | 2020-12-06T12:56:21.157+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201008 | 24898398 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 84936.13245 | 84936.13245 | 2020-12-06T12:56:21.14+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201006 | 24898396 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 89756.75824 | 89756.75824 | 2020-12-06T12:56:21.077+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201005 | 24898395 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 91484.01385 | 91484.01385 | 2020-12-06T12:56:21.06+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201004 | 24898394 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 93049.41182 | 93049.41182 | 2020-12-06T12:56:21.03+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201003 | 24898393 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 94373.50596 | 94373.50596 | 2020-12-06T12:56:21+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201002 | 24898392 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 95252.97819 | 95252.97819 | 2020-12-06T12:56:20.983+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201001 | 24898391 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 95540.70857 | 95540.70857 | 2020-12-06T12:56:20.95+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201000 | 24898390 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 95832.44184 | 95832.44184 | 2020-12-06T12:56:20.937+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1200999 | 24898389 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 96664.29279 | 96664.29279 | 2020-12-06T12:56:20.903+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1200998 | 24898388 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:56:20.89+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201007 | 24898397 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 87573.74039 | 87573.74039 | 2020-12-06T12:56:21.11+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1201026 | 24898416 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 89367.73277 | 89367.73277 | 2020-12-06T12:56:21.593+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201027 | 24898417 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 87169.80739 | 87169.80739 | 2020-12-06T12:56:21.623+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201028 | 24898418 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 84239.89109 | 84239.89109 | 2020-12-06T12:56:21.64+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201029 | 24898419 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 80456.97943 | 80456.97943 | 2020-12-06T12:56:21.67+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201030 | 24898420 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 75797.9775 | 75797.9775 | 2020-12-06T12:56:21.703+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201031 | 24898421 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 69325.01404 | 69325.01404 | 2020-12-06T12:56:21.717+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201032 | 24898422 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 61553.06104 | 61553.06104 | 2020-12-06T12:56:21.75+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201033 | 24898423 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 51897.86519 | 51897.86519 | 2020-12-06T12:56:21.78+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201034 | 24898424 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 40471.24435 | 40471.24435 | 2020-12-06T12:56:21.797+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201035 | 24898425 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 25286.36284 | 25286.36284 | 2020-12-06T12:56:21.827+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201024 | 24898414 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 92769.24589 | 92769.24589 | 2020-12-06T12:56:21.547+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201023 | 24898413 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 94089.26378 | 94089.26378 | 2020-12-06T12:56:21.513+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201022 | 24898412 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 95228.02538 | 95228.02538 | 2020-12-06T12:56:21.483+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201021 | 24898411 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 95992.62878 | 95992.62878 | 2020-12-06T12:56:21.467+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201020 | 24898410 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 96221.00168 | 96221.00168 | 2020-12-06T12:56:21.437+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201019 | 24898409 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 96428.87015 | 96428.87015 | 2020-12-06T12:56:21.407+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201018 | 24898408 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 97037.06987 | 97037.06987 | 2020-12-06T12:56:21.39+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201017 | 24898407 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:56:21.36+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201025 | 24898415 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 91176.61231 | 91176.61231 | 2020-12-06T12:56:21.577+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1201046 | 24898436 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 89352.79769 | 89352.79769 | 2020-12-06T12:56:22.11+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201050 | 24898440 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 72121.75599 | 72121.75599 | 2020-12-06T12:56:22.207+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201047 | 24898437 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 86755.42478 | 86755.42478 | 2020-12-06T12:56:22.143+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201048 | 24898438 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 83073.48725 | 83073.48725 | 2020-12-06T12:56:22.16+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201049 | 24898439 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 78280.65746 | 78280.65746 | 2020-12-06T12:56:22.19+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201051 | 24898441 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 63444.646 | 63444.646 | 2020-12-06T12:56:22.237+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201052 | 24898442 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 53655.44133 | 53655.44133 | 2020-12-06T12:56:22.267+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201053 | 24898443 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 41515.82056 | 41515.82056 | 2020-12-06T12:56:22.3+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201054 | 24898444 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 27480.39574 | 27480.39574 | 2020-12-06T12:56:22.313+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201044 | 24898434 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 92959.89509 | 92959.89509 | 2020-12-06T12:56:22.05+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201045 | 24898435 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 91321.06041 | 91321.06041 | 2020-12-06T12:56:22.08+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201036 | 24898426 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:56:21.843+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201037 | 24898427 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 97706.29169 | 97706.29169 | 2020-12-06T12:56:21.873+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201038 | 24898428 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 97244.50354 | 97244.50354 | 2020-12-06T12:56:21.89+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201039 | 24898429 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 97066.7075 | 97066.7075 | 2020-12-06T12:56:21.92+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201040 | 24898430 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 96853.89764 | 96853.89764 | 2020-12-06T12:56:21.953+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201041 | 24898431 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 96157.52435 | 96157.52435 | 2020-12-06T12:56:21.983+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201042 | 24898432 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 95190.68715 | 95190.68715 | 2020-12-06T12:56:22+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201043 | 24898433 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 94179.79441 | 94179.79441 | 2020-12-06T12:56:22.03+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1201073 | 24898463 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 29923.56356 | 29923.56356 | 2020-12-06T12:56:23.027+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201072 | 24898462 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 43798.93988 | 43798.93988 | 2020-12-06T12:56:22.997+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201071 | 24898461 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 55759.9038 | 55759.9038 | 2020-12-06T12:56:22.963+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201070 | 24898460 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 64752.96406 | 64752.96406 | 2020-12-06T12:56:22.947+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201069 | 24898459 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 73489.28519 | 73489.28519 | 2020-12-06T12:56:22.917+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201068 | 24898458 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 79380.98284 | 79380.98284 | 2020-12-06T12:56:22.9+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201067 | 24898457 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 84424.45142 | 84424.45142 | 2020-12-06T12:56:22.853+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201066 | 24898456 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 87877.82022 | 87877.82022 | 2020-12-06T12:56:22.743+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201065 | 24898455 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 90188.06866 | 90188.06866 | 2020-12-06T12:56:22.713+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201064 | 24898454 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 91950.03309 | 91950.03309 | 2020-12-06T12:56:22.68+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201063 | 24898453 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 93369.91075 | 93369.91075 | 2020-12-06T12:56:22.647+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201062 | 24898452 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 94481.13375 | 94481.13375 | 2020-12-06T12:56:22.6+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201061 | 24898451 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 95575.92902 | 95575.92902 | 2020-12-06T12:56:22.567+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201060 | 24898450 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 96540.96448 | 96540.96448 | 2020-12-06T12:56:22.52+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201059 | 24898449 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 97217.39345 | 97217.39345 | 2020-12-06T12:56:22.49+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201058 | 24898448 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 97418.05337 | 97418.05337 | 2020-12-06T12:56:22.473+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201057 | 24898447 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 97575.42705 | 97575.42705 | 2020-12-06T12:56:22.427+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201056 | 24898446 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 97952.5322 | 97952.5322 | 2020-12-06T12:56:22.38+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1201055 | 24898445 | LIFE_0000000031 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 1.00E+05 | 100000 | 2020-12-06T12:56:22.347+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Гватемала: Общие индикаторы смертности
Общий уровень смертности, количество смертей на 1'000 населения. Гватемала
2013 |
---|
5.2 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043523 | 11082862 | WHS9_CDR | COUNTRY | GTM | YEAR | 2013 | 5.2 | 5.2 | 2015-06-17T11:45:33.857+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. Гватемала
2015 |
---|
98.59 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1043262 | 15728264 | MORTADO | COUNTRY | GTM | YEAR | 2015 | 98.6 | 98.59 | 2017-07-10T14:13:48.55+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). Гватемала
2019 | 2015 | 2010 | 2005 | 2000 | |
---|---|---|---|---|---|
<1 года | 2'047 | 2'294 | 2'963 | 3'336 | 4'159 |
1-4 года | 377 | 462 | 608 | 832 | 1'119 |
5-9 лет | 157 | 178 | 208 | 292 | 331 |
10-14 лет | 201 | 213 | 228 | 288 | 289 |
15-19 лет | 676 | 696 | 765 | 879 | 729 |
20-24 года | 965 | 967 | 1'139 | 1'324 | 1'237 |
25-29 лет | 1'095 | 1'011 | 1'320 | 1'565 | 1'542 |
30-34 года | 1'111 | 1'220 | 1'593 | 1'727 | 1'844 |
35-39 лет | 1'420 | 1'639 | 1'809 | 2'183 | 2'369 |
40-44 года | 1'762 | 1'968 | 2'198 | 2'638 | 2'679 |
45-49 лет | 2'310 | 2'597 | 2'930 | 3'023 | 3'003 |
50-54 года | 3'453 | 3'682 | 3'783 | 3'629 | 3'956 |
55-59 лет | 5'043 | 4'793 | 4'659 | 5'175 | 4'562 |
60-64 года | 5'892 | 6'159 | 6'473 | 5'914 | 5'747 |
65-69 лет | 8'736 | 8'677 | 7'772 | 7'675 | 7'286 |
70-74 года | 8'993 | 9'789 | 9'655 | 9'345 | 9'792 |
75-79 лет | 11'961 | 12'140 | 11'427 | 12'353 | 12'393 |
80-84 года | 13'875 | 14'035 | 15'185 | 14'466 | 14'900 |
85+ лет | 29'924 | 27'480 | 25'286 | 23'356 | 22'064 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1077260 | 24897800 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE1-4 | 1119.0524 | 1119.0524 | 2020-12-06T12:56:05.263+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077259 | 24897799 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGELT1 | 4158.781176 | 4158.78118 | 2020-12-06T12:56:05.247+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077277 | 24897817 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE85PLUS | 22063.54115 | 22063.54115 | 2020-12-06T12:56:05.703+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077276 | 24897816 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE80-84 | 14900.40126 | 14900.40126 | 2020-12-06T12:56:05.657+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077275 | 24897815 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE75-79 | 12392.53745 | 12392.53745 | 2020-12-06T12:56:05.64+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077274 | 24897814 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE70-74 | 9792.003771 | 9792.00377 | 2020-12-06T12:56:05.607+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077273 | 24897813 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE65-69 | 7285.785666 | 7285.78567 | 2020-12-06T12:56:05.59+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077272 | 24897812 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE60-64 | 5747.224758 | 5747.22476 | 2020-12-06T12:56:05.56+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077271 | 24897811 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE55-59 | 4562.242955 | 4562.24296 | 2020-12-06T12:56:05.543+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077270 | 24897810 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE50-54 | 3956.027027 | 3956.02703 | 2020-12-06T12:56:05.513+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077268 | 24897808 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE40-44 | 2679.155133 | 2679.15513 | 2020-12-06T12:56:05.467+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077269 | 24897809 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE45-49 | 3003.167831 | 3003.16783 | 2020-12-06T12:56:05.497+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077261 | 24897801 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE5-9 | 330.6347104 | 330.63471 | 2020-12-06T12:56:05.293+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077262 | 24897802 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE10-14 | 289.294481 | 289.29448 | 2020-12-06T12:56:05.31+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077263 | 24897803 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE15-19 | 729.1096301 | 729.10963 | 2020-12-06T12:56:05.34+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077264 | 24897804 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE20-24 | 1236.507021 | 1236.50702 | 2020-12-06T12:56:05.37+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077265 | 24897805 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE25-29 | 1541.977805 | 1541.97781 | 2020-12-06T12:56:05.403+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077266 | 24897806 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE30-34 | 1843.951465 | 1843.95147 | 2020-12-06T12:56:05.42+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077267 | 24897807 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | AGEGROUP | AGE35-39 | 2368.604316 | 2368.60432 | 2020-12-06T12:56:05.433+01:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
1077296 | 24897836 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE85PLUS | 23355.96573 | 23355.96573 | 2020-12-06T12:56:06.287+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077295 | 24897835 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE80-84 | 14466.09133 | 14466.09133 | 2020-12-06T12:56:06.27+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077294 | 24897834 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE75-79 | 12353.39584 | 12353.39584 | 2020-12-06T12:56:06.24+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077293 | 24897833 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE70-74 | 9345.36248 | 9345.36248 | 2020-12-06T12:56:06.19+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077292 | 24897832 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE65-69 | 7675.42895 | 7675.42895 | 2020-12-06T12:56:06.14+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077291 | 24897831 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE60-64 | 5913.521832 | 5913.52183 | 2020-12-06T12:56:06.127+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077290 | 24897830 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE55-59 | 5174.682556 | 5174.68256 | 2020-12-06T12:56:06.093+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077289 | 24897829 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE50-54 | 3628.681238 | 3628.68124 | 2020-12-06T12:56:06.063+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077288 | 24897828 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE45-49 | 3023.002489 | 3023.00249 | 2020-12-06T12:56:06.047+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077286 | 24897826 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE35-39 | 2183.017849 | 2183.01785 | 2020-12-06T12:56:05.97+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077285 | 24897825 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE30-34 | 1727.255611 | 1727.25561 | 2020-12-06T12:56:05.937+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077284 | 24897824 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE25-29 | 1565.397972 | 1565.39797 | 2020-12-06T12:56:05.907+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077283 | 24897823 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE20-24 | 1324.094145 | 1324.09415 | 2020-12-06T12:56:05.89+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077282 | 24897822 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE15-19 | 879.4722272 | 879.47223 | 2020-12-06T12:56:05.843+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077281 | 24897821 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE10-14 | 287.7303789 | 287.73038 | 2020-12-06T12:56:05.81+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077280 | 24897820 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE5-9 | 291.7332737 | 291.73327 | 2020-12-06T12:56:05.78+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077279 | 24897819 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE1-4 | 831.8509456 | 831.85095 | 2020-12-06T12:56:05.75+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077278 | 24897818 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGELT1 | 3335.70721 | 3335.70721 | 2020-12-06T12:56:05.717+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077287 | 24897827 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | AGEGROUP | AGE40-44 | 2637.607938 | 2637.60794 | 2020-12-06T12:56:06.017+01:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
1077306 | 24897846 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE40-44 | 2197.925381 | 2197.92538 | 2020-12-06T12:56:06.57+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077307 | 24897847 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE45-49 | 2929.916297 | 2929.9163 | 2020-12-06T12:56:06.6+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077308 | 24897848 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE50-54 | 3782.911662 | 3782.91166 | 2020-12-06T12:56:06.617+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077309 | 24897849 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE55-59 | 4659.001926 | 4659.00193 | 2020-12-06T12:56:06.647+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077310 | 24897850 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE60-64 | 6472.963463 | 6472.96346 | 2020-12-06T12:56:06.68+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077311 | 24897851 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE65-69 | 7771.953005 | 7771.95301 | 2020-12-06T12:56:06.71+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077312 | 24897852 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE70-74 | 9655.195843 | 9655.19584 | 2020-12-06T12:56:07.04+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077313 | 24897853 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE75-79 | 11426.62084 | 11426.62084 | 2020-12-06T12:56:07.07+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077314 | 24897854 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE80-84 | 15184.88151 | 15184.88151 | 2020-12-06T12:56:07.103+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077315 | 24897855 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE85PLUS | 25286.36284 | 25286.36284 | 2020-12-06T12:56:07.133+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077304 | 24897844 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE30-34 | 1592.633576 | 1592.63358 | 2020-12-06T12:56:06.507+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077303 | 24897843 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE25-29 | 1320.017898 | 1320.0179 | 2020-12-06T12:56:06.49+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077302 | 24897842 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE20-24 | 1138.761598 | 1138.7616 | 2020-12-06T12:56:06.46+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077301 | 24897841 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE15-19 | 764.6034028 | 764.6034 | 2020-12-06T12:56:06.443+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077300 | 24897840 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE10-14 | 228.3728974 | 228.3729 | 2020-12-06T12:56:06.427+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077299 | 24897839 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE5-9 | 207.8684703 | 207.86847 | 2020-12-06T12:56:06.397+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077298 | 24897838 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE1-4 | 608.1997215 | 608.19972 | 2020-12-06T12:56:06.363+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077297 | 24897837 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGELT1 | 2962.930127 | 2962.93013 | 2020-12-06T12:56:06.32+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077305 | 24897845 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | AGEGROUP | AGE35-39 | 1808.87954 | 1808.87954 | 2020-12-06T12:56:06.537+01:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
1077326 | 24897866 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE45-49 | 2597.372908 | 2597.37291 | 2020-12-06T12:56:07.43+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077330 | 24897870 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE65-69 | 8677.109993 | 8677.10999 | 2020-12-06T12:56:07.517+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077327 | 24897867 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE50-54 | 3681.937537 | 3681.93754 | 2020-12-06T12:56:07.447+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077328 | 24897868 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE55-59 | 4792.829786 | 4792.82979 | 2020-12-06T12:56:07.48+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077329 | 24897869 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE60-64 | 6158.901469 | 6158.90147 | 2020-12-06T12:56:07.5+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077331 | 24897871 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE70-74 | 9789.204665 | 9789.20467 | 2020-12-06T12:56:07.55+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077332 | 24897872 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE75-79 | 12139.62077 | 12139.62077 | 2020-12-06T12:56:07.563+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077333 | 24897873 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE80-84 | 14035.42482 | 14035.42482 | 2020-12-06T12:56:07.58+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077334 | 24897874 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE85PLUS | 27480.39574 | 27480.39574 | 2020-12-06T12:56:07.61+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077324 | 24897864 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE35-39 | 1638.834675 | 1638.83468 | 2020-12-06T12:56:07.383+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077325 | 24897865 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE40-44 | 1968.262721 | 1968.26272 | 2020-12-06T12:56:07.4+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077316 | 24897856 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGELT1 | 2293.708309 | 2293.70831 | 2020-12-06T12:56:07.18+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077317 | 24897857 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE1-4 | 461.7881477 | 461.78815 | 2020-12-06T12:56:07.21+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077318 | 24897858 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE5-9 | 177.7960443 | 177.79604 | 2020-12-06T12:56:07.243+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077319 | 24897859 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE10-14 | 212.8098642 | 212.80986 | 2020-12-06T12:56:07.26+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077320 | 24897860 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE15-19 | 696.3732884 | 696.37329 | 2020-12-06T12:56:07.29+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077321 | 24897861 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE20-24 | 966.8372004 | 966.8372 | 2020-12-06T12:56:07.307+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077322 | 24897862 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE25-29 | 1010.892737 | 1010.89274 | 2020-12-06T12:56:07.32+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077323 | 24897863 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | AGEGROUP | AGE30-34 | 1219.899323 | 1219.89932 | 2020-12-06T12:56:07.353+01:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
1077353 | 24897893 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE85PLUS | 29923.56356 | 29923.56356 | 2020-12-06T12:56:08.063+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077352 | 24897892 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE80-84 | 13875.37632 | 13875.37632 | 2020-12-06T12:56:08.033+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077351 | 24897891 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE75-79 | 11960.96392 | 11960.96392 | 2020-12-06T12:56:08.017+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077350 | 24897890 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE70-74 | 8993.060259 | 8993.06026 | 2020-12-06T12:56:07.987+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077349 | 24897889 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE65-69 | 8736.321133 | 8736.32113 | 2020-12-06T12:56:07.97+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077348 | 24897888 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE60-64 | 5891.69764 | 5891.69764 | 2020-12-06T12:56:07.953+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077347 | 24897887 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE55-59 | 5043.468583 | 5043.46858 | 2020-12-06T12:56:07.923+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077346 | 24897886 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE50-54 | 3453.368805 | 3453.36881 | 2020-12-06T12:56:07.893+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077345 | 24897885 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE45-49 | 2310.24844 | 2310.24844 | 2020-12-06T12:56:07.86+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077344 | 24897884 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE40-44 | 1761.964423 | 1761.96442 | 2020-12-06T12:56:07.83+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077343 | 24897883 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE35-39 | 1419.877661 | 1419.87766 | 2020-12-06T12:56:07.813+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077342 | 24897882 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE30-34 | 1111.223005 | 1111.22301 | 2020-12-06T12:56:07.8+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077341 | 24897881 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE25-29 | 1094.795269 | 1094.79527 | 2020-12-06T12:56:07.767+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077340 | 24897880 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE20-24 | 965.0354577 | 965.03546 | 2020-12-06T12:56:07.75+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077339 | 24897879 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE15-19 | 676.4289733 | 676.42897 | 2020-12-06T12:56:07.72+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077338 | 24897878 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE10-14 | 200.6599152 | 200.65992 | 2020-12-06T12:56:07.703+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077337 | 24897877 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE5-9 | 157.3736792 | 157.37368 | 2020-12-06T12:56:07.673+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077336 | 24897876 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGE1-4 | 377.1051573 | 377.10516 | 2020-12-06T12:56:07.657+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
1077335 | 24897875 | LIFE_0000000032 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | AGEGROUP | AGELT1 | 2047.467797 | 2047.4678 | 2020-12-06T12:56:07.627+01:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Гватемала: Другие индикаторы смертности
Поддержать портал
Сбербанк: 4274320078898619
Онлайн перевод
Помочь в обслуживании и развитии портала. Подробнее »