Источник данных: Всемирная организация здравоохранения (ВОЗ)
Последнее обновление данных: 27.12.2020
Гватемала: Общие индикаторы материнства
Среднее количество детей на одну женщину в возрасте от 15 до 49 лет. Гватемала
| 2016 | 2013 | 2012 | 2011 |
|---|---|---|---|
| 3.0 | 3.8 | 3.84 | 3.91 |
Среднее количество детей, которое приходится на одну женщину. В статистике участвуют женщины от 15 до 49 лет, данные взяты из отчетов ООН.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1251774 | archive16881 | WHS9_95 | COUNTRY | GTM | YEAR | 2011 | 3.91 | 3.91 | From diBit's archive | 1 | ||||||||||||||
| 1251775 | archive16750 | WHS9_95 | COUNTRY | GTM | YEAR | 2012 | 3.84 | 3.84 | From diBit's archive | 1 | ||||||||||||||
| 1251776 | archive52990 | WHS9_95 | COUNTRY | GTM | YEAR | 2013 | 3.8 | 3.783 | From diBit's archive | 1 | ||||||||||||||
| 540027 | 18117658 | WHS9_95 | COUNTRY | GTM | YEAR | 2016 | 3.0 | 2.973 | 2018-03-15T14:37:31.27+01:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Охват дородовой помощью (не менее четырех посещений), в процентах. Гватемала
| 2015 | 1995 |
|---|---|
| 86.2 | 65 |
Процент женщин в возрасте 15-49 лет, родивших в рассматриваемый период, получивших дородовое наблюдение четыре или более раз.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1263819 | 22384353 | WHS4_154 | COUNTRY | GTM | YEAR | 1995 | 65 | 65 | DHS 1995.Instituto Nacional de Estadística (INE), Macro International Inc. Guatemala Encuesta Nacional de Salud Materno Infantil 1995. Calverton, Maryland, USA: Macro International Inc.; 1996 (in Spanish). | 2020-05-26T12:12:11.097+02:00 | 1990-1995 | 1990-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263820 | 22384354 | WHS4_154 | COUNTRY | GTM | YEAR | 2015 | 86.2 | 86.2 | DHS 2014-15. Encuesta Nacional de Salud Materno Infantil (ENSMI) 2014-2015. Informe Final. Ciudad de Guatemala: Ministerio de Salud Pública y Asistencia Social (MSPAS) [Guatemala], Instituto Nacional de Estadística (INE) [Guatemala], ICF International; 2015 (in Spanish). | 2020-05-26T12:12:11.113+02:00 | 2009-2015 | 2009-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 |
Роды в присутствии квалифицированного медицинского персонала, в процентах от всех родов. Гватемала
| 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2009 |
|---|---|---|---|---|---|---|
| 69.8 | 65.5 | 67 | 62.8 | 58.7 | 52.3 | 51.5 |
Показатель указывает на способность системы здравоохранения обеспечить надлежащий уход за беременными женщинами.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1245907 | 22213823 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2007 | 31 | 31.4 | PAHO Database; 2018. No / unclear definition of the cadres included | 2020-04-08T14:41:23.233+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245906 | 22213822 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2009 | 52 | 51.5 | Survey for years 2008-2009. Ministerio de Salud Pública y Asistencia Social (MSPAS) [Guatemala], Instituto Nacional de Estadística (INE) [Guatemala], CDC; 2010. | 2020-04-08T14:41:23.22+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245905 | 22213821 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2010 | 52 | 52.3 | PAHO Database; 2018. No / unclear definition of the cadres included | 2020-04-08T14:41:23.203+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245904 | 22213820 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2012 | 59 | 58.7 | PAHO Database; 2018. No / unclear definition of the cadres included | 2020-04-08T14:41:23.187+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245903 | 22213819 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2013 | 63 | 62.8 | PAHO Database; 2018. No / unclear definition of the cadres included | 2020-04-08T14:41:23.157+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245902 | 22213818 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2014 | 67 | 67 | PAHO Database; 2018. No / unclear definition of the cadres included | 2020-04-08T14:41:23.14+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245901 | 22213817 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2015 | 66 | 65.5 | Survey for years 2014-2015. DHS 2014-15. | 2020-04-08T14:41:23.123+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245900 | 22213816 | MDG_0000000025 | COUNTRY | GTM | YEAR | 2016 | 70 | 69.8 | PAHO Database; 2018. No / unclear definition of the cadres included | 2020-04-08T14:41:23.11+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Роды путем кесарева сечения, в процентах от общей численности родов. Гватемала
| 2015 | 2009 |
|---|---|
| 26.3 | 16.3 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1245027 | archive16841 | WHS4_115 | COUNTRY | GTM | YEAR | 2009 | 16.3 | 16.3 | From diBit's archive | 1 | ||||||||||||||
| 540202 | 18182528 | WHS4_115 | COUNTRY | GTM | YEAR | 2015 | 26.3 | 26.3 | Ministerio de Salud Pública y Asistencia Social (MSPAS) [Guatemala], Instituto Nacional de Estadística (INE) [Guatemala], ICF International; 2015. Encuesta Nacional de Salud Materno Infantil (ENSMI) 2014-2015. Informe Final. Ciudad de Guatemala: Ministerio de Salud Pública y Asistencia Social (MSPAS) [Guatemala], Instituto Nacional de Estadística (INE) [Guatemala], ICF International; 2015 (in Spanish). | 2018-04-09T09:34:06.04+02:00 | 2009-2015 | 2009-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 |
Младенцы, вскармливаемые исключительно грудью в течение первых шести месяцев жизни, в процентах от общей численности младенцев. Гватемала
| 2014 | 2008 | 2002 | 1998 | 1995 |
|---|---|---|---|---|
| 53.2 | 49.6 | 50.6 | 39.2 | 46.4 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 540494 | 20723942 | WHOSIS_000006 | COUNTRY | GTM | YEAR | 1995 | 46.4 | 46.4 | 2019-04-09T11:38:19.103+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540495 | 20723943 | WHOSIS_000006 | COUNTRY | GTM | YEAR | 1998 | 39.2 | 39.2 | 2019-04-09T11:38:19.12+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540496 | 20723944 | WHOSIS_000006 | COUNTRY | GTM | YEAR | 2002 | 50.6 | 50.6 | 2019-04-09T11:38:19.137+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540497 | 20723945 | WHOSIS_000006 | COUNTRY | GTM | YEAR | 2008 | 49.6 | 49.6 | 2019-04-09T11:38:19.153+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540498 | 20723946 | WHOSIS_000006 | COUNTRY | GTM | YEAR | 2014 | 53.2 | 53.23649 | 2019-04-09T11:38:19.17+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 |
Число рожениц-подростков, на 1'000 женщин в возрасте 15-19 лет. Гватемала
| 2016 | 2015 | 2014 | 2013 | 2011 | 2010 | 2007 | 2004 | 2001 |
|---|---|---|---|---|---|---|---|---|
| 78.9 | 81.2 | 84.8 | 91.7 | 89.4 | 85.0 | 98.0 | 96.1 | 114.0 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 541678 | 22238124 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2000 | 120.0 | 120 | Guatemala 2002 Encuesta Nacional de Salud Materno Infantil | 2020-04-23T13:45:55.563+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541679 | 22238125 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2001 | 114.0 | 114 | Guatemala 2002 Encuesta Nacional de Salud Materno Infantil | 2020-04-23T13:45:55.593+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541680 | 22238126 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2003 | 99.8 | 99.8 | Registration National Statistics | 2020-04-23T13:45:55.61+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541681 | 22238127 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2004 | 96.1 | 96.1 | Registration National Statistics & WPP2019 | 2020-04-23T13:45:55.627+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541682 | 22238128 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2006 | 101.0 | 101 | Guatemala 2008-2009 Encuesta Nacional de Salud Materno Infantil | 2020-04-23T13:45:55.657+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541683 | 22238129 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2007 | 98.0 | 98 | Guatemala 2008-2009 Encuesta Nacional de Salud Materno Infantil | 2020-04-23T13:45:55.673+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541684 | 22238130 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2010 | 85.0 | 85 | Registration UNSD & WPP2019 | 2020-04-23T13:45:55.69+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541685 | 22238131 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2011 | 89.4 | 89.4 | Registration UNSD & WPP2019 | 2020-04-23T13:45:55.703+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541686 | 22238132 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2013 | 91.7 | 91.7 | Guatemala 2014-2015 Encuesta Nacional de Salud Materno Infantil | 2020-04-23T13:45:55.737+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541687 | 22238133 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2014 | 84.8 | 84.8 | Registration UNSD & WPP2019 | 2020-04-23T13:45:55.75+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541688 | 22238134 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2015 | 81.2 | 81.2 | Registration UNSD & WPP2019 | 2020-04-23T13:45:55.767+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541689 | 22238135 | MDG_0000000003 | COUNTRY | GTM | YEAR | 2016 | 78.9 | 78.9 | Registration UNSD & WPP2019 | 2020-04-23T13:45:55.783+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Доля женщин, которые используют контрацептивы, в процентах от всех женщин в возрасте 15-49 лет. Гватемала
| 2009 |
|---|
| 54.1 |
Доля женщин в возрасте 15-49 лет, в браке (или в сожительстве), которые используют контрацептивы (или используют контрацептивы их сексуальные партнеры) независимо от метода контрацепции.
Показатель распространенности контрацептивов является показателем здоровья, народонаселения, развития и увеличения возможностей женщин. Этот показатель также служит индикатором гендерного равенства.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1244921 | 10726442 | MDG_0000000005 | COUNTRY | GTM | YEAR | 2009 | 54.1 | 54.1 | 2015-05-11T11:14:16.3+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 |
Гватемала: Смертность матерей и детей
Количество материнских смертей. Гватемала
| 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 400 | 410 | 430 | 440 | 460 | 480 | 500 | 530 | 540 | 580 | 570 | 610 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 544309 | 21457684 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2000 | 660 [ 630 - 700 ] | 660 | 630 | 700 | 2019-09-24T09:30:36.96+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 544310 | 21457685 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2001 | 610 [ 570 - 640 ] | 610 | 570 | 640 | 2019-09-24T09:30:36.993+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 544311 | 21457686 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2002 | 600 [ 570 - 640 ] | 600 | 570 | 640 | 2019-09-24T09:30:37.01+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 544312 | 21457687 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2003 | 570 [ 540 - 600 ] | 570 | 540 | 600 | 2019-09-24T09:30:37.04+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 544313 | 21457688 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2004 | 570 [ 540 - 600 ] | 570 | 540 | 600 | 2019-09-24T09:30:37.057+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 544314 | 21457689 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2005 | 580 [ 560 - 610 ] | 580 | 560 | 610 | 2019-09-24T09:30:37.073+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 544315 | 21457690 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2006 | 560 [ 540 - 580 ] | 560 | 540 | 580 | 2019-09-24T09:30:37.09+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 544316 | 21457691 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2007 | 540 [ 520 - 560 ] | 540 | 520 | 560 | 2019-09-24T09:30:37.12+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 544317 | 21457692 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2008 | 510 [ 490 - 530 ] | 510 | 490 | 530 | 2019-09-24T09:30:37.137+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 544318 | 21457693 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2009 | 530 [ 510 - 550 ] | 530 | 510 | 550 | 2019-09-24T09:30:37.15+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 544319 | 21457694 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2010 | 520 [ 500 - 550 ] | 520 | 500 | 550 | 2019-09-24T09:30:37.167+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 544320 | 21457695 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2011 | 500 [ 480 - 520 ] | 500 | 480 | 520 | 2019-09-24T09:30:37.2+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 544321 | 21457696 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2012 | 480 [ 470 - 500 ] | 480 | 470 | 500 | 2019-09-24T09:30:37.213+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 544322 | 21457697 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2013 | 460 [ 450 - 480 ] | 460 | 450 | 480 | 2019-09-24T09:30:37.247+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 544323 | 21457698 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2014 | 440 [ 420 - 460 ] | 440 | 420 | 460 | 2019-09-24T09:30:37.277+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 544324 | 21457699 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2015 | 430 [ 400 - 450 ] | 430 | 400 | 450 | 2019-09-24T09:30:37.293+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 544325 | 21457700 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2016 | 410 [ 380 - 440 ] | 410 | 380 | 440 | 2019-09-24T09:30:37.31+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 544326 | 21457701 | MORT_MATERNALNUM | COUNTRY | GTM | YEAR | 2017 | 400 [ 360 - 440 ] | 400 | 360 | 440 | 2019-09-24T09:30:37.34+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Количество материнских смертей, на 100'000 родившихся. Гватемала
| 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 95 | 98 | 103 | 107 | 113 | 118 | 122 | 131 | 132 | 142 | 137 | 147 |
Ежегодное число смертей женщин во время беременности, родов или в течение 42 дней после родов (исключая случаи смертей несвязанных с беременностью) на 100'000 живорожденных детей.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 547741 | 21460995 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2000 | 161 [ 152 - 169 ] | 161 | 152 | 169 | 2019-09-24T09:31:51.77+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 547779 | 21461035 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2001 | 147 [ 138 - 155 ] | 147 | 138 | 155 | 2019-09-24T09:31:52.96+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 547783 | 21461039 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2002 | 145 [ 136 - 153 ] | 145 | 136 | 153 | 2019-09-24T09:31:53.04+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 547798 | 21461055 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2003 | 137 [ 129 - 145 ] | 137 | 129 | 145 | 2019-09-24T09:31:53.417+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 547799 | 21461056 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2004 | 137 [ 130 - 144 ] | 137 | 130 | 144 | 2019-09-24T09:31:53.433+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 547788 | 21461045 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2005 | 142 [ 135 - 149 ] | 142 | 135 | 149 | 2019-09-24T09:31:53.18+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 547808 | 21461065 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2006 | 137 [ 131 - 142 ] | 137 | 131 | 142 | 2019-09-24T09:31:53.683+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 547825 | 21461083 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2007 | 132 [ 127 - 137 ] | 132 | 127 | 137 | 2019-09-24T09:31:54.123+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 547850 | 21461109 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2008 | 125 [ 120 - 130 ] | 125 | 120 | 130 | 2019-09-24T09:31:54.767+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 547826 | 21461084 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2009 | 131 [ 125 - 137 ] | 131 | 125 | 137 | 2019-09-24T09:31:54.157+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 547831 | 21461089 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2010 | 129 [ 123 - 135 ] | 129 | 123 | 135 | 2019-09-24T09:31:54.28+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 547860 | 21461119 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2011 | 122 [ 117 - 127 ] | 122 | 117 | 127 | 2019-09-24T09:31:55.003+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 547873 | 21461133 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2012 | 118 [ 114 - 123 ] | 118 | 114 | 123 | 2019-09-24T09:31:55.333+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 547890 | 21461151 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2013 | 113 [ 108 - 117 ] | 113 | 108 | 117 | 2019-09-24T09:31:55.757+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 547913 | 21461175 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2014 | 107 [ 102 - 112 ] | 107 | 102 | 112 | 2019-09-24T09:31:56.32+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 547928 | 21461190 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2015 | 103 [ 97 - 109 ] | 103 | 97 | 109 | 2019-09-24T09:31:56.747+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 547947 | 21461210 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2016 | 98 [ 91 - 105 ] | 98 | 91 | 105 | 2019-09-24T09:31:57.233+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 547953 | 21461217 | MDG_0000000026 | COUNTRY | GTM | YEAR | 2017 | 95 [ 86 - 104 ] | 95 | 86 | 104 | 2019-09-24T09:31:57.407+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Количество мертворожденных, на 1'000 родившихся. Гватемала
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 12.7 | 13 | 13.4 | 13.7 | 14.1 | 14.4 | 14.7 | 15.5 | 16.3 | 17.1 | 17.9 | 18.7 | 19.5 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 551327 | 24436594 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2000 | 19.9 | 19.90315 | 15.75759 | 24.90823 | 2020-10-12T12:03:05.877+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 551328 | 24436595 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2001 | 19.5 | 19.49606 | 15.60649 | 24.24013 | 2020-10-12T12:03:05.907+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 551329 | 24436596 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2002 | 19.1 | 19.08854 | 15.29271 | 23.68003 | 2020-10-12T12:03:05.94+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 551330 | 24436597 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2003 | 18.7 | 18.68402 | 15.12031 | 23.20405 | 2020-10-12T12:03:05.957+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 551331 | 24436598 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2004 | 18.3 | 18.30566 | 14.91917 | 22.42592 | 2020-10-12T12:03:05.987+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 551332 | 24436599 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2005 | 17.9 | 17.92917 | 14.71231 | 21.76069 | 2020-10-12T12:03:06.017+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 551333 | 24436600 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2006 | 17.5 | 17.49854 | 14.54161 | 21.12019 | 2020-10-12T12:03:06.033+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 551334 | 24436601 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2007 | 17.1 | 17.09586 | 14.22511 | 20.46623 | 2020-10-12T12:03:06.05+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 551335 | 24436602 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2008 | 16.7 | 16.6925 | 14.01358 | 19.96948 | 2020-10-12T12:03:06.063+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 551336 | 24436603 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2009 | 16.3 | 16.30276 | 13.76496 | 19.31613 | 2020-10-12T12:03:06.097+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 551337 | 24436604 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2010 | 15.9 | 15.9448 | 13.52433 | 18.73012 | 2020-10-12T12:03:06.11+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 551338 | 24436605 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2011 | 15.5 | 15.46478 | 13.28377 | 18.06256 | 2020-10-12T12:03:06.143+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 551339 | 24436606 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2012 | 15 | 15.02349 | 12.95843 | 17.38479 | 2020-10-12T12:03:06.16+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 551340 | 24436607 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2013 | 14.7 | 14.72427 | 12.69503 | 17.10832 | 2020-10-12T12:03:06.173+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 551341 | 24436608 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2014 | 14.4 | 14.39107 | 12.34955 | 16.84484 | 2020-10-12T12:03:06.207+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 551342 | 24436609 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2015 | 14.1 | 14.07299 | 12.01979 | 16.49594 | 2020-10-12T12:03:06.22+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 551343 | 24436610 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2016 | 13.7 | 13.74196 | 11.65493 | 16.28422 | 2020-10-12T12:03:06.25+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 551344 | 24436611 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2017 | 13.4 | 13.37625 | 11.14842 | 16.11828 | 2020-10-12T12:03:06.283+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||||
| 551345 | 24436612 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2018 | 13 | 13.04729 | 10.68997 | 15.92182 | 2020-10-12T12:03:06.3+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||||
| 551346 | 24436613 | WHOSIS_000014 | COUNTRY | GTM | YEAR | 2019 | 12.7 | 12.74328 | 10.23514 | 15.93827 | 2020-10-12T12:03:06.33+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Количество смертей детей в возрасте до 5 лет. Гватемала
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Мужчины | 5'858 | 6'025 | 6'199 | 6'389 | 6'591 | 6'805 | 7'037 | 7'565 | 8'194 | 8'933 | 9'751 | 10'572 | 11'344 | 12'082 | 12'817 | 13'562 | 14'312 | 15'055 |
| Женщины | 4'506 | 4'639 | 4'771 | 4'928 | 5'090 | 5'267 | 5'456 | 5'896 | 6'426 | 7'049 | 7'735 | 8'428 | 9'096 | 9'724 | 10'375 | 11'047 | 11'720 | 12'402 |
| Оба пола | 10'364 | 10'664 | 10'970 | 11'317 | 11'681 | 12'072 | 12'493 | 13'461 | 14'620 | 15'982 | 17'486 | 19'000 | 20'440 | 21'806 | 23'192 | 24'609 | 26'032 | 27'457 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 565496 | 24198555 | CM_01 | COUNTRY | GTM | YEAR | 1991 | SEX | BTSX | 27457 | 27457 | 25822 | 29167 | 2020-09-22T13:26:45.983+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 565497 | 24198556 | CM_01 | COUNTRY | GTM | YEAR | 1992 | SEX | BTSX | 26739 | 26739 | 25143 | 28402 | 2020-09-22T13:26:46+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 565498 | 24198557 | CM_01 | COUNTRY | GTM | YEAR | 1993 | SEX | BTSX | 26032 | 26032 | 24452 | 27679 | 2020-09-22T13:26:46.017+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 565499 | 24198558 | CM_01 | COUNTRY | GTM | YEAR | 1994 | SEX | BTSX | 25320 | 25320 | 23733 | 26967 | 2020-09-22T13:26:46.047+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 565500 | 24198559 | CM_01 | COUNTRY | GTM | YEAR | 1995 | SEX | BTSX | 24609 | 24609 | 23036 | 26262 | 2020-09-22T13:26:46.063+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 565501 | 24198560 | CM_01 | COUNTRY | GTM | YEAR | 1996 | SEX | BTSX | 23900 | 23900 | 22323 | 25546 | 2020-09-22T13:26:46.093+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 565502 | 24198561 | CM_01 | COUNTRY | GTM | YEAR | 1997 | SEX | BTSX | 23192 | 23192 | 21610 | 24829 | 2020-09-22T13:26:46.11+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 565503 | 24198562 | CM_01 | COUNTRY | GTM | YEAR | 1998 | SEX | BTSX | 22489 | 22489 | 20943 | 24132 | 2020-09-22T13:26:46.14+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 565504 | 24198563 | CM_01 | COUNTRY | GTM | YEAR | 1999 | SEX | BTSX | 21806 | 21806 | 20283 | 23438 | 2020-09-22T13:26:46.157+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 565505 | 24198564 | CM_01 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | 21123 | 21123 | 19607 | 22758 | 2020-09-22T13:26:46.173+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 565506 | 24198565 | CM_01 | COUNTRY | GTM | YEAR | 2001 | SEX | BTSX | 20440 | 20440 | 18934 | 22061 | 2020-09-22T13:26:46.187+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 565507 | 24198566 | CM_01 | COUNTRY | GTM | YEAR | 2002 | SEX | BTSX | 19726 | 19726 | 18231 | 21333 | 2020-09-22T13:26:46.22+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 565508 | 24198567 | CM_01 | COUNTRY | GTM | YEAR | 2003 | SEX | BTSX | 19000 | 19000 | 17526 | 20598 | 2020-09-22T13:26:46.233+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 565509 | 24198568 | CM_01 | COUNTRY | GTM | YEAR | 2004 | SEX | BTSX | 18253 | 18253 | 16785 | 19806 | 2020-09-22T13:26:46.25+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 565510 | 24198569 | CM_01 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | 17486 | 17486 | 16037 | 19031 | 2020-09-22T13:26:46.28+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 565511 | 24198570 | CM_01 | COUNTRY | GTM | YEAR | 2006 | SEX | BTSX | 16729 | 16729 | 15294 | 18257 | 2020-09-22T13:26:46.297+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 565512 | 24198571 | CM_01 | COUNTRY | GTM | YEAR | 2007 | SEX | BTSX | 15982 | 15982 | 14550 | 17524 | 2020-09-22T13:26:46.313+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 565513 | 24198572 | CM_01 | COUNTRY | GTM | YEAR | 2008 | SEX | BTSX | 15275 | 15275 | 13851 | 16835 | 2020-09-22T13:26:46.343+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 565514 | 24198573 | CM_01 | COUNTRY | GTM | YEAR | 2009 | SEX | BTSX | 14620 | 14620 | 13187 | 16204 | 2020-09-22T13:26:46.36+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 565515 | 24198574 | CM_01 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | 14005 | 14005 | 12563 | 15644 | 2020-09-22T13:26:46.377+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 565516 | 24198575 | CM_01 | COUNTRY | GTM | YEAR | 2011 | SEX | BTSX | 13461 | 13461 | 11979 | 15139 | 2020-09-22T13:26:46.407+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 565517 | 24198576 | CM_01 | COUNTRY | GTM | YEAR | 2012 | SEX | BTSX | 12966 | 12966 | 11446 | 14708 | 2020-09-22T13:26:46.423+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 565518 | 24198577 | CM_01 | COUNTRY | GTM | YEAR | 2013 | SEX | BTSX | 12493 | 12493 | 10936 | 14305 | 2020-09-22T13:26:46.453+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 565519 | 24198578 | CM_01 | COUNTRY | GTM | YEAR | 2014 | SEX | BTSX | 12072 | 12072 | 10460 | 13973 | 2020-09-22T13:26:46.47+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 565520 | 24198579 | CM_01 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | 11681 | 11681 | 10003 | 13658 | 2020-09-22T13:26:46.483+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 565521 | 24198580 | CM_01 | COUNTRY | GTM | YEAR | 2016 | SEX | BTSX | 11317 | 11317 | 9555 | 13429 | 2020-09-22T13:26:46.5+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 565522 | 24198581 | CM_01 | COUNTRY | GTM | YEAR | 2017 | SEX | BTSX | 10970 | 10970 | 9038 | 13285 | 2020-09-22T13:26:46.53+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 565523 | 24198582 | CM_01 | COUNTRY | GTM | YEAR | 2018 | SEX | BTSX | 10664 | 10664 | 8552 | 13245 | 2020-09-22T13:26:46.547+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 565524 | 24198583 | CM_01 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | 10364 | 10364 | 8046 | 13247 | 2020-09-22T13:26:46.58+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 565554 | 24198613 | CM_01 | COUNTRY | GTM | YEAR | 1991 | SEX | FMLE | 12402 | 12402 | 11622 | 13216 | 2020-09-22T13:26:47.233+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 565555 | 24198614 | CM_01 | COUNTRY | GTM | YEAR | 1992 | SEX | FMLE | 12053 | 12053 | 11288 | 12850 | 2020-09-22T13:26:47.267+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 565556 | 24198615 | CM_01 | COUNTRY | GTM | YEAR | 1993 | SEX | FMLE | 11720 | 11720 | 10959 | 12499 | 2020-09-22T13:26:47.28+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 565557 | 24198616 | CM_01 | COUNTRY | GTM | YEAR | 1994 | SEX | FMLE | 11383 | 11383 | 10627 | 12162 | 2020-09-22T13:26:47.313+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 565558 | 24198617 | CM_01 | COUNTRY | GTM | YEAR | 1995 | SEX | FMLE | 11047 | 11047 | 10290 | 11824 | 2020-09-22T13:26:47.343+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 565559 | 24198618 | CM_01 | COUNTRY | GTM | YEAR | 1996 | SEX | FMLE | 10704 | 10704 | 9960 | 11474 | 2020-09-22T13:26:47.36+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 565560 | 24198619 | CM_01 | COUNTRY | GTM | YEAR | 1997 | SEX | FMLE | 10375 | 10375 | 9627 | 11143 | 2020-09-22T13:26:47.39+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 565561 | 24198620 | CM_01 | COUNTRY | GTM | YEAR | 1998 | SEX | FMLE | 10046 | 10046 | 9308 | 10814 | 2020-09-22T13:26:47.407+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 565562 | 24198621 | CM_01 | COUNTRY | GTM | YEAR | 1999 | SEX | FMLE | 9724 | 9724 | 8993 | 10486 | 2020-09-22T13:26:47.423+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 565563 | 24198622 | CM_01 | COUNTRY | GTM | YEAR | 2000 | SEX | FMLE | 9415 | 9415 | 8700 | 10169 | 2020-09-22T13:26:47.453+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 565564 | 24198623 | CM_01 | COUNTRY | GTM | YEAR | 2001 | SEX | FMLE | 9096 | 9096 | 8381 | 9834 | 2020-09-22T13:26:47.483+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 565565 | 24198624 | CM_01 | COUNTRY | GTM | YEAR | 2002 | SEX | FMLE | 8757 | 8757 | 8063 | 9494 | 2020-09-22T13:26:47.5+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 565566 | 24198625 | CM_01 | COUNTRY | GTM | YEAR | 2003 | SEX | FMLE | 8428 | 8428 | 7732 | 9154 | 2020-09-22T13:26:47.517+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 565567 | 24198626 | CM_01 | COUNTRY | GTM | YEAR | 2004 | SEX | FMLE | 8082 | 8082 | 7398 | 8802 | 2020-09-22T13:26:47.53+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 565568 | 24198627 | CM_01 | COUNTRY | GTM | YEAR | 2005 | SEX | FMLE | 7735 | 7735 | 7070 | 8453 | 2020-09-22T13:26:47.563+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 565569 | 24198628 | CM_01 | COUNTRY | GTM | YEAR | 2006 | SEX | FMLE | 7385 | 7385 | 6720 | 8090 | 2020-09-22T13:26:47.58+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 565570 | 24198629 | CM_01 | COUNTRY | GTM | YEAR | 2007 | SEX | FMLE | 7049 | 7049 | 6390 | 7749 | 2020-09-22T13:26:47.61+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 565571 | 24198630 | CM_01 | COUNTRY | GTM | YEAR | 2008 | SEX | FMLE | 6718 | 6718 | 6071 | 7417 | 2020-09-22T13:26:47.627+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 565572 | 24198631 | CM_01 | COUNTRY | GTM | YEAR | 2009 | SEX | FMLE | 6426 | 6426 | 5771 | 7122 | 2020-09-22T13:26:47.64+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 565573 | 24198632 | CM_01 | COUNTRY | GTM | YEAR | 2010 | SEX | FMLE | 6137 | 6137 | 5483 | 6851 | 2020-09-22T13:26:47.673+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 565574 | 24198633 | CM_01 | COUNTRY | GTM | YEAR | 2011 | SEX | FMLE | 5896 | 5896 | 5231 | 6628 | 2020-09-22T13:26:47.687+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 565575 | 24198634 | CM_01 | COUNTRY | GTM | YEAR | 2012 | SEX | FMLE | 5673 | 5673 | 4996 | 6433 | 2020-09-22T13:26:47.703+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 565576 | 24198635 | CM_01 | COUNTRY | GTM | YEAR | 2013 | SEX | FMLE | 5456 | 5456 | 4764 | 6247 | 2020-09-22T13:26:47.767+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 565577 | 24198636 | CM_01 | COUNTRY | GTM | YEAR | 2014 | SEX | FMLE | 5267 | 5267 | 4553 | 6083 | 2020-09-22T13:26:47.797+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 565578 | 24198637 | CM_01 | COUNTRY | GTM | YEAR | 2015 | SEX | FMLE | 5090 | 5090 | 4354 | 5948 | 2020-09-22T13:26:47.813+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 565579 | 24198638 | CM_01 | COUNTRY | GTM | YEAR | 2016 | SEX | FMLE | 4928 | 4928 | 4146 | 5849 | 2020-09-22T13:26:47.843+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 565580 | 24198639 | CM_01 | COUNTRY | GTM | YEAR | 2017 | SEX | FMLE | 4771 | 4771 | 3930 | 5790 | 2020-09-22T13:26:47.86+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 565581 | 24198640 | CM_01 | COUNTRY | GTM | YEAR | 2018 | SEX | FMLE | 4639 | 4639 | 3712 | 5762 | 2020-09-22T13:26:47.89+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 565582 | 24198641 | CM_01 | COUNTRY | GTM | YEAR | 2019 | SEX | FMLE | 4506 | 4506 | 3490 | 5756 | 2020-09-22T13:26:47.923+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 565612 | 24198671 | CM_01 | COUNTRY | GTM | YEAR | 1991 | SEX | MLE | 15055 | 15055 | 14130 | 16016 | 2020-09-22T13:26:48.657+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 565613 | 24198672 | CM_01 | COUNTRY | GTM | YEAR | 1992 | SEX | MLE | 14686 | 14686 | 13781 | 15629 | 2020-09-22T13:26:48.69+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 565614 | 24198673 | CM_01 | COUNTRY | GTM | YEAR | 1993 | SEX | MLE | 14312 | 14312 | 13422 | 15261 | 2020-09-22T13:26:48.703+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 565615 | 24198674 | CM_01 | COUNTRY | GTM | YEAR | 1994 | SEX | MLE | 13937 | 13937 | 13044 | 14892 | 2020-09-22T13:26:48.72+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 565616 | 24198675 | CM_01 | COUNTRY | GTM | YEAR | 1995 | SEX | MLE | 13562 | 13562 | 12654 | 14507 | 2020-09-22T13:26:48.75+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 565617 | 24198676 | CM_01 | COUNTRY | GTM | YEAR | 1996 | SEX | MLE | 13196 | 13196 | 12295 | 14135 | 2020-09-22T13:26:48.77+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 565618 | 24198677 | CM_01 | COUNTRY | GTM | YEAR | 1997 | SEX | MLE | 12817 | 12817 | 11917 | 13754 | 2020-09-22T13:26:48.783+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 565619 | 24198678 | CM_01 | COUNTRY | GTM | YEAR | 1998 | SEX | MLE | 12443 | 12443 | 11560 | 13393 | 2020-09-22T13:26:48.877+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 565620 | 24198679 | CM_01 | COUNTRY | GTM | YEAR | 1999 | SEX | MLE | 12082 | 12082 | 11211 | 13029 | 2020-09-22T13:26:48.97+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 565621 | 24198680 | CM_01 | COUNTRY | GTM | YEAR | 2000 | SEX | MLE | 11708 | 11708 | 10843 | 12656 | 2020-09-22T13:26:49.047+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 565622 | 24198681 | CM_01 | COUNTRY | GTM | YEAR | 2001 | SEX | MLE | 11344 | 11344 | 10487 | 12281 | 2020-09-22T13:26:49.08+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 565623 | 24198682 | CM_01 | COUNTRY | GTM | YEAR | 2002 | SEX | MLE | 10969 | 10969 | 10120 | 11895 | 2020-09-22T13:26:49.11+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 565624 | 24198683 | CM_01 | COUNTRY | GTM | YEAR | 2003 | SEX | MLE | 10572 | 10572 | 9724 | 11481 | 2020-09-22T13:26:49.127+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 565625 | 24198684 | CM_01 | COUNTRY | GTM | YEAR | 2004 | SEX | MLE | 10171 | 10171 | 9325 | 11068 | 2020-09-22T13:26:49.173+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 565626 | 24198685 | CM_01 | COUNTRY | GTM | YEAR | 2005 | SEX | MLE | 9751 | 9751 | 8914 | 10649 | 2020-09-22T13:26:49.22+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 565627 | 24198686 | CM_01 | COUNTRY | GTM | YEAR | 2006 | SEX | MLE | 9344 | 9344 | 8519 | 10232 | 2020-09-22T13:26:49.233+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 565628 | 24198687 | CM_01 | COUNTRY | GTM | YEAR | 2007 | SEX | MLE | 8933 | 8933 | 8112 | 9832 | 2020-09-22T13:26:49.267+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 565629 | 24198688 | CM_01 | COUNTRY | GTM | YEAR | 2008 | SEX | MLE | 8557 | 8557 | 7725 | 9457 | 2020-09-22T13:26:49.28+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 565630 | 24198689 | CM_01 | COUNTRY | GTM | YEAR | 2009 | SEX | MLE | 8194 | 8194 | 7358 | 9106 | 2020-09-22T13:26:49.313+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 565631 | 24198690 | CM_01 | COUNTRY | GTM | YEAR | 2010 | SEX | MLE | 7868 | 7868 | 7029 | 8814 | 2020-09-22T13:26:49.343+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 565632 | 24198691 | CM_01 | COUNTRY | GTM | YEAR | 2011 | SEX | MLE | 7565 | 7565 | 6716 | 8534 | 2020-09-22T13:26:49.36+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 565633 | 24198692 | CM_01 | COUNTRY | GTM | YEAR | 2012 | SEX | MLE | 7293 | 7293 | 6418 | 8297 | 2020-09-22T13:26:49.39+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 565634 | 24198693 | CM_01 | COUNTRY | GTM | YEAR | 2013 | SEX | MLE | 7037 | 7037 | 6145 | 8089 | 2020-09-22T13:26:49.423+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 565635 | 24198694 | CM_01 | COUNTRY | GTM | YEAR | 2014 | SEX | MLE | 6805 | 6805 | 5878 | 7892 | 2020-09-22T13:26:49.437+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 565636 | 24198695 | CM_01 | COUNTRY | GTM | YEAR | 2015 | SEX | MLE | 6591 | 6591 | 5627 | 7722 | 2020-09-22T13:26:49.47+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 565637 | 24198696 | CM_01 | COUNTRY | GTM | YEAR | 2016 | SEX | MLE | 6389 | 6389 | 5367 | 7602 | 2020-09-22T13:26:49.483+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 565638 | 24198697 | CM_01 | COUNTRY | GTM | YEAR | 2017 | SEX | MLE | 6199 | 6199 | 5097 | 7522 | 2020-09-22T13:26:49.517+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 565639 | 24198698 | CM_01 | COUNTRY | GTM | YEAR | 2018 | SEX | MLE | 6025 | 6025 | 4813 | 7501 | 2020-09-22T13:26:49.53+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 565640 | 24198699 | CM_01 | COUNTRY | GTM | YEAR | 2019 | SEX | MLE | 5858 | 5858 | 4542 | 7495 | 2020-09-22T13:26:49.563+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Количество смертей детей в возрасте до 5 лет, на 1'000 родившихся. Гватемала
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Мужчины | 27.1 | 28 | 29 | 30 | 31.2 | 32.4 | 33.7 | 36.5 | 39.6 | 42.9 | 46.4 | 50 | 54 | 58.5 | 63.4 | 68.9 | 75.1 | 82 |
| Женщины | 21.8 | 22.6 | 23.4 | 24.3 | 25.3 | 26.3 | 27.4 | 29.8 | 32.6 | 35.5 | 38.6 | 41.8 | 45.5 | 49.4 | 53.9 | 58.9 | 64.6 | 70.9 |
| Оба пола | 24.5 | 25.4 | 26.2 | 27.2 | 28.3 | 29.4 | 30.6 | 33.3 | 36.2 | 39.3 | 42.5 | 46 | 49.9 | 54.1 | 58.8 | 64 | 70 | 76.6 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 597987 | 24306679 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1991 | SEX | BTSX | 76.6 | 76.56652 | 71.95464 | 81.39196 | 2020-09-22T14:26:43.28+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 597988 | 24306680 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1992 | SEX | BTSX | 73.2 | 73.18981 | 68.78017 | 77.79721 | 2020-09-22T14:26:43.313+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 597989 | 24306681 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1993 | SEX | BTSX | 70 | 69.97118 | 65.68568 | 74.45979 | 2020-09-22T14:26:43.36+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 597990 | 24306682 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1994 | SEX | BTSX | 66.9 | 66.91329 | 62.68779 | 71.32016 | 2020-09-22T14:26:43.407+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 597991 | 24306683 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1995 | SEX | BTSX | 64 | 64.03794 | 59.91297 | 68.37451 | 2020-09-22T14:26:43.437+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 597992 | 24306684 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1996 | SEX | BTSX | 61.3 | 61.34049 | 57.26188 | 65.60221 | 2020-09-22T14:26:43.47+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 597993 | 24306685 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1997 | SEX | BTSX | 58.8 | 58.78712 | 54.75324 | 62.97089 | 2020-09-22T14:26:43.483+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 597994 | 24306686 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1998 | SEX | BTSX | 56.4 | 56.35622 | 52.45646 | 60.50158 | 2020-09-22T14:26:43.517+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 597995 | 24306687 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1999 | SEX | BTSX | 54.1 | 54.07671 | 50.2736 | 58.15353 | 2020-09-22T14:26:43.53+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 597996 | 24306688 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2000 | SEX | BTSX | 51.9 | 51.90492 | 48.1545 | 55.94532 | 2020-09-22T14:26:43.563+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 597997 | 24306689 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2001 | SEX | BTSX | 49.9 | 49.86226 | 46.16436 | 53.84255 | 2020-09-22T14:26:43.58+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 597998 | 24306690 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2002 | SEX | BTSX | 47.9 | 47.89577 | 44.24747 | 51.8128 | 2020-09-22T14:26:43.61+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 597999 | 24306691 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2003 | SEX | BTSX | 46 | 46.04262 | 42.45528 | 49.94166 | 2020-09-22T14:26:43.64+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 598000 | 24306692 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2004 | SEX | BTSX | 44.3 | 44.2687 | 40.70584 | 48.05274 | 2020-09-22T14:26:43.657+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 598001 | 24306693 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2005 | SEX | BTSX | 42.5 | 42.54373 | 39.00727 | 46.31787 | 2020-09-22T14:26:43.687+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 598002 | 24306694 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2006 | SEX | BTSX | 40.9 | 40.88871 | 37.37571 | 44.6376 | 2020-09-22T14:26:43.703+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 598003 | 24306695 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2007 | SEX | BTSX | 39.3 | 39.25868 | 35.73272 | 43.05401 | 2020-09-22T14:26:43.733+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 598004 | 24306696 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2008 | SEX | BTSX | 37.7 | 37.68124 | 34.16117 | 41.53393 | 2020-09-22T14:26:43.75+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 598005 | 24306697 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2009 | SEX | BTSX | 36.2 | 36.16329 | 32.60802 | 40.0929 | 2020-09-22T14:26:43.78+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 598006 | 24306698 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2010 | SEX | BTSX | 34.7 | 34.65979 | 31.08512 | 38.73343 | 2020-09-22T14:26:43.813+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 598007 | 24306699 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2011 | SEX | BTSX | 33.3 | 33.25738 | 29.58479 | 37.41374 | 2020-09-22T14:26:43.843+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 598008 | 24306700 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2012 | SEX | BTSX | 31.9 | 31.91473 | 28.16269 | 36.21214 | 2020-09-22T14:26:43.877+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 598009 | 24306701 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2013 | SEX | BTSX | 30.6 | 30.59783 | 26.77415 | 35.05147 | 2020-09-22T14:26:43.89+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 598010 | 24306702 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2014 | SEX | BTSX | 29.4 | 29.39745 | 25.45886 | 34.04592 | 2020-09-22T14:26:43.923+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 598011 | 24306703 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2015 | SEX | BTSX | 28.3 | 28.27503 | 24.20137 | 33.07917 | 2020-09-22T14:26:43.953+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 598012 | 24306704 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2016 | SEX | BTSX | 27.2 | 27.22693 | 22.97152 | 32.32653 | 2020-09-22T14:26:43.983+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 598013 | 24306705 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2017 | SEX | BTSX | 26.2 | 26.23585 | 21.6026 | 31.79678 | 2020-09-22T14:26:44.017+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 598014 | 24306706 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2018 | SEX | BTSX | 25.4 | 25.36058 | 20.32648 | 31.51157 | 2020-09-22T14:26:44.03+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 598015 | 24306707 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2019 | SEX | BTSX | 24.5 | 24.51963 | 19.02468 | 31.35225 | 2020-09-22T14:26:44.08+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 598050 | 24306742 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1991 | SEX | FMLE | 70.9 | 70.90618 | 66.40103 | 75.61476 | 2020-09-22T14:26:46.25+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 598051 | 24306743 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1992 | SEX | FMLE | 67.6 | 67.63839 | 63.31258 | 72.16961 | 2020-09-22T14:26:46.28+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 598052 | 24306744 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1993 | SEX | FMLE | 64.6 | 64.59696 | 60.35899 | 68.93184 | 2020-09-22T14:26:46.297+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 598053 | 24306745 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1994 | SEX | FMLE | 61.7 | 61.68767 | 57.54387 | 65.93196 | 2020-09-22T14:26:46.343+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 598054 | 24306746 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1995 | SEX | FMLE | 58.9 | 58.93835 | 54.86771 | 63.11577 | 2020-09-22T14:26:46.407+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 598055 | 24306747 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1996 | SEX | FMLE | 56.3 | 56.3155 | 52.38248 | 60.38957 | 2020-09-22T14:26:46.423+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 598056 | 24306748 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1997 | SEX | FMLE | 53.9 | 53.88845 | 49.99396 | 57.92815 | 2020-09-22T14:26:46.453+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 598057 | 24306749 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1998 | SEX | FMLE | 51.6 | 51.60206 | 47.78731 | 55.56499 | 2020-09-22T14:26:46.47+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 598058 | 24306750 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1999 | SEX | FMLE | 49.4 | 49.41777 | 45.67963 | 53.32289 | 2020-09-22T14:26:46.5+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 598059 | 24306751 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2000 | SEX | FMLE | 47.4 | 47.42194 | 43.79204 | 51.23352 | 2020-09-22T14:26:46.53+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 598060 | 24306752 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2001 | SEX | FMLE | 45.5 | 45.46354 | 41.88448 | 49.1845 | 2020-09-22T14:26:46.547+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 598061 | 24306753 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2002 | SEX | FMLE | 43.6 | 43.56741 | 40.10149 | 47.24811 | 2020-09-22T14:26:46.58+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 598062 | 24306754 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2003 | SEX | FMLE | 41.8 | 41.83584 | 38.37736 | 45.46837 | 2020-09-22T14:26:46.593+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 598063 | 24306755 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2004 | SEX | FMLE | 40.1 | 40.14237 | 36.74771 | 43.75361 | 2020-09-22T14:26:46.627+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 598064 | 24306756 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2005 | SEX | FMLE | 38.6 | 38.55786 | 35.22651 | 42.14582 | 2020-09-22T14:26:46.64+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 598065 | 24306757 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2006 | SEX | FMLE | 37 | 36.97226 | 33.63962 | 40.51646 | 2020-09-22T14:26:46.673+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 598066 | 24306758 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2007 | SEX | FMLE | 35.5 | 35.48189 | 32.14889 | 39 | 2020-09-22T14:26:46.69+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 598067 | 24306759 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2008 | SEX | FMLE | 34 | 33.96757 | 30.67237 | 37.48931 | 2020-09-22T14:26:46.72+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 598068 | 24306760 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2009 | SEX | FMLE | 32.6 | 32.56611 | 29.24327 | 36.09841 | 2020-09-22T14:26:46.733+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 598069 | 24306761 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2010 | SEX | FMLE | 31.1 | 31.13933 | 27.79311 | 34.74329 | 2020-09-22T14:26:46.767+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 598070 | 24306762 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2011 | SEX | FMLE | 29.8 | 29.84989 | 26.46882 | 33.56066 | 2020-09-22T14:26:46.78+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 598071 | 24306763 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2012 | SEX | FMLE | 28.6 | 28.61136 | 25.18905 | 32.46113 | 2020-09-22T14:26:46.813+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 598072 | 24306764 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2013 | SEX | FMLE | 27.4 | 27.40278 | 23.89999 | 31.36411 | 2020-09-22T14:26:46.843+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 598073 | 24306765 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2014 | SEX | FMLE | 26.3 | 26.29133 | 22.7104 | 30.37129 | 2020-09-22T14:26:46.86+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 598074 | 24306766 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2015 | SEX | FMLE | 25.3 | 25.25159 | 21.59339 | 29.52058 | 2020-09-22T14:26:46.89+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 598075 | 24306767 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2016 | SEX | FMLE | 24.3 | 24.29421 | 20.43306 | 28.84662 | 2020-09-22T14:26:46.923+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 598076 | 24306768 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2017 | SEX | FMLE | 23.4 | 23.40983 | 19.25197 | 28.39717 | 2020-09-22T14:26:46.953+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 598077 | 24306769 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2018 | SEX | FMLE | 22.6 | 22.61357 | 18.0829 | 28.09674 | 2020-09-22T14:26:46.983+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 598078 | 24306770 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2019 | SEX | FMLE | 21.8 | 21.84848 | 16.9182 | 27.92269 | 2020-09-22T14:26:47.017+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 598113 | 24306805 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1991 | SEX | MLE | 82 | 81.95441 | 76.85731 | 87.26266 | 2020-09-22T14:26:49.127+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 598114 | 24306806 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1992 | SEX | MLE | 78.5 | 78.47823 | 73.59676 | 83.59749 | 2020-09-22T14:26:49.157+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 598115 | 24306807 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1993 | SEX | MLE | 75.1 | 75.11121 | 70.39188 | 80.14469 | 2020-09-22T14:26:49.173+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 598116 | 24306808 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1994 | SEX | MLE | 71.9 | 71.92377 | 67.26449 | 76.908 | 2020-09-22T14:26:49.203+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 598117 | 24306809 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1995 | SEX | MLE | 68.9 | 68.91658 | 64.26079 | 73.76535 | 2020-09-22T14:26:49.3+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 598118 | 24306810 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1996 | SEX | MLE | 66.1 | 66.13419 | 61.58017 | 70.88736 | 2020-09-22T14:26:49.393+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 598119 | 24306811 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1997 | SEX | MLE | 63.4 | 63.42849 | 58.94684 | 68.11931 | 2020-09-22T14:26:49.407+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 598120 | 24306812 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1998 | SEX | MLE | 60.9 | 60.90479 | 56.54233 | 65.58374 | 2020-09-22T14:26:49.5+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 598121 | 24306813 | MDG_0000000007 | COUNTRY | GTM | YEAR | 1999 | SEX | MLE | 58.5 | 58.50383 | 54.26735 | 63.12825 | 2020-09-22T14:26:49.597+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 598122 | 24306814 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2000 | SEX | MLE | 56.2 | 56.2031 | 52.00874 | 60.77367 | 2020-09-22T14:26:49.657+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 598123 | 24306815 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2001 | SEX | MLE | 54 | 54.03481 | 49.9371 | 58.54686 | 2020-09-22T14:26:49.673+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 598124 | 24306816 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2002 | SEX | MLE | 52 | 52.02515 | 47.97261 | 56.44515 | 2020-09-22T14:26:49.703+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 598125 | 24306817 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2003 | SEX | MLE | 50 | 50.03314 | 46.01483 | 54.37086 | 2020-09-22T14:26:49.737+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 598126 | 24306818 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2004 | SEX | MLE | 48.2 | 48.17008 | 44.17015 | 52.46478 | 2020-09-22T14:26:49.767+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 598127 | 24306819 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2005 | SEX | MLE | 46.4 | 46.35373 | 42.36112 | 50.63166 | 2020-09-22T14:26:49.78+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 598128 | 24306820 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2006 | SEX | MLE | 44.6 | 44.61445 | 40.66476 | 48.87363 | 2020-09-22T14:26:49.813+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 598129 | 24306821 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2007 | SEX | MLE | 42.9 | 42.88119 | 38.91524 | 47.1974 | 2020-09-22T14:26:49.843+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 598130 | 24306822 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2008 | SEX | MLE | 41.3 | 41.25486 | 37.22001 | 45.586 | 2020-09-22T14:26:49.86+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 598131 | 24306823 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2009 | SEX | MLE | 39.6 | 39.60047 | 35.54281 | 44.01243 | 2020-09-22T14:26:49.89+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 598132 | 24306824 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2010 | SEX | MLE | 38.1 | 38.06842 | 33.97055 | 42.6242 | 2020-09-22T14:26:49.907+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 598133 | 24306825 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2011 | SEX | MLE | 36.5 | 36.51627 | 32.39676 | 41.2012 | 2020-09-22T14:26:49.94+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 598134 | 24306826 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2012 | SEX | MLE | 35.1 | 35.06432 | 30.84156 | 39.90747 | 2020-09-22T14:26:49.97+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 598135 | 24306827 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2013 | SEX | MLE | 33.7 | 33.68493 | 29.38295 | 38.71607 | 2020-09-22T14:26:49.987+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 598136 | 24306828 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2014 | SEX | MLE | 32.4 | 32.37166 | 27.9427 | 37.55389 | 2020-09-22T14:26:50.017+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 598137 | 24306829 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2015 | SEX | MLE | 31.2 | 31.1646 | 26.58747 | 36.52255 | 2020-09-22T14:26:50.047+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 598138 | 24306830 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2016 | SEX | MLE | 30 | 30.01916 | 25.20285 | 35.74396 | 2020-09-22T14:26:50.063+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 598139 | 24306831 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2017 | SEX | MLE | 29 | 28.98694 | 23.79545 | 35.15133 | 2020-09-22T14:26:50.093+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 598140 | 24306832 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2018 | SEX | MLE | 28 | 27.98641 | 22.33941 | 34.84982 | 2020-09-22T14:26:50.11+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 598141 | 24306833 | MDG_0000000007 | COUNTRY | GTM | YEAR | 2019 | SEX | MLE | 27.1 | 27.06996 | 20.97498 | 34.65068 | 2020-09-22T14:26:50.14+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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