Источник данных: Всемирная организация здравоохранения (ВОЗ)
Последнее обновление данных: 27.12.2020
Перу: Общие индикаторы материнства
Среднее количество детей на одну женщину в возрасте от 15 до 49 лет. Перу
| 2016 | 2013 | 2012 | 2011 |
|---|---|---|---|
| 2.4 | 2.4 | 2.45 | 2.48 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1251961 | archive32071 | WHS9_95 | COUNTRY | PER | YEAR | 2011 | 2.48 | 2.48 | From diBit's archive | 1 | ||||||||||||||
| 1251962 | archive31888 | WHS9_95 | COUNTRY | PER | YEAR | 2012 | 2.45 | 2.45 | From diBit's archive | 1 | ||||||||||||||
| 1251963 | archive58105 | WHS9_95 | COUNTRY | PER | YEAR | 2013 | 2.4 | 2.417 | From diBit's archive | 1 | ||||||||||||||
| 540086 | 18117909 | WHS9_95 | COUNTRY | PER | YEAR | 2016 | 2.4 | 2.4 | 2018-03-15T14:37:36.837+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. Перу
| 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2008 | 2000 | 1992 |
|---|---|---|---|---|---|---|---|---|---|---|
| 96.6 | 95.8 | 96 | 95.6 | 94.7 | 95.1 | 94.4 | 92.9 | 91.6 | 69 | 47 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1264049 | 22384583 | WHS4_154 | COUNTRY | PER | YEAR | 1992 | 47 | 47 | DHS 1991-1992.Instituto Nacional de Estadística e Informática (INEI) [Perú], Asociación Benéfica PRISMA, Macro International Inc. Perú Encuesta Demográfica y de Salud Familiar - ENDES 1991-1992. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], Asociación Benéfica PRISMA, Macro International Inc.; 1992 (in Spanish). | 2020-05-26T12:12:15.963+02:00 | 1986-1992 | 1986-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264050 | 22384584 | WHS4_154 | COUNTRY | PER | YEAR | 1996 | 54 | 54 | DHS 1996. Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro. Perú Encuesta Demográfica y de Salud Familiar - ENDES 1996. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro; 1997 (in Spanish). | 2020-05-26T12:12:15.98+02:00 | 1991-1996 | 1991-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264051 | 22384585 | WHS4_154 | COUNTRY | PER | YEAR | 2000 | 69 | 69 | DHS 2000. Instituto Nacional de Estadística e Informática (INEI) [Perú], Macro International. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2000. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], Macro International; 2001 (in Spanish). | 2020-05-26T12:12:16.01+02:00 | 1995-2000 | 1995-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264052 | 22384586 | WHS4_154 | COUNTRY | PER | YEAR | 2006 | 87.4 | 87.4 | DHS 2004-2006 (Continuous).Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2004-2006. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro; 2007 (in Spanish). | 2020-05-26T12:12:16.027+02:00 | 1999-2006 | 1999-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264053 | 22384587 | WHS4_154 | COUNTRY | PER | YEAR | 2008 | 91.6 | 91.6 | DHS 2007-2008 (Continuous).Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2007-2008. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro; 2009 (in Spanish). | 2020-05-26T12:12:16.04+02:00 | 2002-2008 | 2002-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264054 | 22384588 | WHS4_154 | COUNTRY | PER | YEAR | 2009 | 92.5 | 92.5 | DHS 2009 (Continuous)Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2009. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro; 2010 (in Spanish). | 2020-05-26T12:12:16.057+02:00 | 2004-2009 | 2004-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264055 | 22384589 | WHS4_154 | COUNTRY | PER | YEAR | 2010 | 92.9 | 92.9 | DHS 2010 (Continuous). Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2010. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú], ORC Macro; 2011 (in Spanish). | 2020-05-26T12:12:16.073+02:00 | 2005-2010 | 2005-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264056 | 22384590 | WHS4_154 | COUNTRY | PER | YEAR | 2011 | 94.2 | 94.2 | DHS 2011 (Continuous).Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2011. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2012 (in Spanish). | 2020-05-26T12:12:16.103+02:00 | 2006-2011 | 2006-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264057 | 22384591 | WHS4_154 | COUNTRY | PER | YEAR | 2012 | 94.4 | 94.4 | DHS 2012 (Continuous).Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2012. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2013 (in Spanish). | 2020-05-26T12:12:16.12+02:00 | 2007-2012 | 2007-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264058 | 22384592 | WHS4_154 | COUNTRY | PER | YEAR | 2013 | 95.1 | 95.1 | DHS 2013 (Continuous).Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2013. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2014 (in Spanish). | 2020-05-26T12:12:16.137+02:00 | 2008-2013 | 2008-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264059 | 22384593 | WHS4_154 | COUNTRY | PER | YEAR | 2014 | 94.7 | 94.7 | DHS 2014 (Continuous).Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2014. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2015 (in Spanish). | 2020-05-26T12:12:16.167+02:00 | 2009-2014 | 2009-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264060 | 22384594 | WHS4_154 | COUNTRY | PER | YEAR | 2015 | 95.6 | 95.6 | DHS 2015.Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2015. Nacional y Departamental. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2016 (in Spanish). | 2020-05-26T12:12:16.183+02:00 | 2010-2015 | 2010-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264061 | 22384595 | WHS4_154 | COUNTRY | PER | YEAR | 2016 | 96 | 96 | DHS 2016. Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2016. Nacional y Regional. Lima, Perú: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2017 (in Spanish). | 2020-05-26T12:12:16.197+02:00 | 2011-2016 | 2011-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264062 | 22384596 | WHS4_154 | COUNTRY | PER | YEAR | 2017 | 95.8 | 95.8 | ENDES 2017. INEI; 2018.Perú Encuesta Demográfica y de Salud Familiar - ENDES 2017. Lima: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2018 (in Spanish). | 2020-05-26T12:12:16.213+02:00 | 2012-2017 | 2012-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1264063 | 22384597 | WHS4_154 | COUNTRY | PER | YEAR | 2018 | 96.6 | 96.6 | ENDES 2018. INEI 2019.Perú: Encuesta Demográfica y de Salud Familiar - ENDES 2018. Lima: Instituto Nacional de Estadística e Informática (INEI) [Perú]; 2019 (in Spanish). | 2020-05-26T12:12:16.23+02:00 | 2013-2018 | 2013-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 |
Роды в присутствии квалифицированного медицинского персонала, в процентах от всех родов. Перу
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 |
|---|---|---|---|---|---|---|---|---|
| 92.1 | 93.1 | 93.6 | 92.4 | 91.6 | 90 | 89.1 | 85 | 82.5 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1246481 | 22214397 | MDG_0000000025 | COUNTRY | PER | YEAR | 2008 | 79 | 79.4 | Survey for years 2007-2008. DHS 2007-2008 (Continuous). | 2020-04-08T14:41:34.61+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246480 | 22214396 | MDG_0000000025 | COUNTRY | PER | YEAR | 2009 | 83 | 82.5 | DHS 2009 (Continuous) | 2020-04-08T14:41:34.593+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246479 | 22214395 | MDG_0000000025 | COUNTRY | PER | YEAR | 2010 | 84 | 83.8 | DHS 2010 (Continuous). | 2020-04-08T14:41:34.577+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246478 | 22214394 | MDG_0000000025 | COUNTRY | PER | YEAR | 2011 | 85 | 85 | DHS 2011 (Continuous). | 2020-04-08T14:41:34.563+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246477 | 22214393 | MDG_0000000025 | COUNTRY | PER | YEAR | 2012 | 87 | 86.7 | DHS 2012 (Continuous). | 2020-04-08T14:41:34.547+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246476 | 22214392 | MDG_0000000025 | COUNTRY | PER | YEAR | 2013 | 89 | 89.1 | DHS 2013 (Continuous). | 2020-04-08T14:41:34.53+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246475 | 22214391 | MDG_0000000025 | COUNTRY | PER | YEAR | 2014 | 90 | 90 | DHS 2014 (Continuous). | 2020-04-08T14:41:34.517+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246474 | 22214390 | MDG_0000000025 | COUNTRY | PER | YEAR | 2015 | 92 | 91.6 | DHS 2015. | 2020-04-08T14:41:34.5+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246473 | 22214389 | MDG_0000000025 | COUNTRY | PER | YEAR | 2016 | 92 | 92.4 | DHS 2016. | 2020-04-08T14:41:34.483+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246472 | 22214388 | MDG_0000000025 | COUNTRY | PER | YEAR | 2017 | 94 | 93.6 | ENDES 2017. INEI; 2018. | 2020-04-08T14:41:34.47+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246471 | 22214387 | MDG_0000000025 | COUNTRY | PER | YEAR | 2018 | 93 | 93.1 | ENDES 2018. INEI 2019. | 2020-04-08T14:41:34.453+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1246470 | 22214386 | MDG_0000000025 | COUNTRY | PER | YEAR | 2019 | 92 | 92.1 | ENDES 2019 - Resultados Preliminares. INEI 2019.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:34.437+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Роды путем кесарева сечения, в процентах от общей численности родов. Перу
| 2016 | 2011 |
|---|---|
| 31.6 | 22.9 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1245082 | archive31976 | WHS4_115 | COUNTRY | PER | YEAR | 2011 | 22.9 | 22.9 | From diBit's archive | 1 | ||||||||||||||
| 540261 | 18182587 | WHS4_115 | COUNTRY | PER | YEAR | 2016 | 31.6 | 31.6 | DHS 2016. Instituto Nacional de Estadística e Informática (INEI) [Perú]. Perú Encuesta Demográfica y de Salud Familiar - ENDES 2016. Nacional y Regional. Lima, Perú: INEI [Perú]; 2017 (in Spanish). | 2018-04-09T09:34:07.393+02:00 | 2011-2016 | 2011-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Младенцы, вскармливаемые исключительно грудью в течение первых шести месяцев жизни, в процентах от общей численности младенцев. Перу
| 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2007 | 2000 | 1991 |
|---|---|---|---|---|---|---|---|---|---|
| 69.8 | 65.2 | 68.4 | 72.3 | 67.4 | 70.1 | 68.3 | 66.5 | 67.2 | 48.0 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 540676 | 20724124 | WHOSIS_000006 | COUNTRY | PER | YEAR | 1991 | 48.0 | 48 | 2019-04-09T11:38:22.27+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540677 | 20724125 | WHOSIS_000006 | COUNTRY | PER | YEAR | 1996 | 53.0 | 53 | 2019-04-09T11:38:22.287+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540678 | 20724126 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2000 | 67.2 | 67.2 | 2019-04-09T11:38:22.303+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540679 | 20724127 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2003 | 63.3 | 63.3 | 2019-04-09T11:38:22.32+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540680 | 20724128 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2007 | 66.5 | 66.47611 | 2019-04-09T11:38:22.337+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540681 | 20724129 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2009 | 68.3 | 68.26478 | 2019-04-09T11:38:22.353+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540682 | 20724130 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2010 | 68.3 | 68.27868 | 2019-04-09T11:38:22.37+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540683 | 20724131 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2011 | 70.1 | 70.08546 | 2019-04-09T11:38:22.39+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540684 | 20724132 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2012 | 67.4 | 67.41323 | 2019-04-09T11:38:22.41+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540685 | 20724133 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2013 | 72.3 | 72.3 | 2019-04-09T11:38:22.427+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540686 | 20724134 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2014 | 68.4 | 68.4 | 2019-04-09T11:38:22.447+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540687 | 20724135 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2015 | 65.2 | 65.2 | 2019-04-09T11:38:22.46+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540688 | 20724136 | WHOSIS_000006 | COUNTRY | PER | YEAR | 2016 | 69.8 | 69.8 | 2019-04-09T11:38:22.48+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Число рожениц-подростков, на 1'000 женщин в возрасте 15-19 лет. Перу
| 2017 | 2016 | 2015 | 2013 | 2012 | 2011 | 2010 | 2008 | 2006 | 2003 |
|---|---|---|---|---|---|---|---|---|---|
| 44.0 | 53.0 | 60.0 | 65.0 | 65.0 | 64.2 | 61.1 | 67.4 | 63.0 | 59.0 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 542449 | 22238895 | MDG_0000000003 | COUNTRY | PER | YEAR | 2002 | 61.3 | 61.3 | Peru 2003-2004 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.61+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542450 | 22238896 | MDG_0000000003 | COUNTRY | PER | YEAR | 2003 | 59.0 | 59 | Peru 2004-2006 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.627+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542451 | 22238897 | MDG_0000000003 | COUNTRY | PER | YEAR | 2005 | 64.0 | 64 | Peru 2007-2008 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.66+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542452 | 22238898 | MDG_0000000003 | COUNTRY | PER | YEAR | 2006 | 63.0 | 63 | Peru 2007-2008 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.673+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542453 | 22238899 | MDG_0000000003 | COUNTRY | PER | YEAR | 2007 | 69.0 | 69 | Peru 2009 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.69+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542454 | 22238900 | MDG_0000000003 | COUNTRY | PER | YEAR | 2008 | 67.4 | 67.4 | Peru 2009 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.707+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542455 | 22238901 | MDG_0000000003 | COUNTRY | PER | YEAR | 2009 | 68.4 | 68.4 | Peru 2010 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.72+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542456 | 22238902 | MDG_0000000003 | COUNTRY | PER | YEAR | 2010 | 61.1 | 61.1 | Peru 2011 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.737+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542457 | 22238903 | MDG_0000000003 | COUNTRY | PER | YEAR | 2011 | 64.2 | 64.2 | Peru 2012 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.753+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542458 | 22238904 | MDG_0000000003 | COUNTRY | PER | YEAR | 2012 | 65.0 | 65 | Peru 2014 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.77+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542459 | 22238905 | MDG_0000000003 | COUNTRY | PER | YEAR | 2013 | 65.0 | 65 | Peru 2014 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.8+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542460 | 22238906 | MDG_0000000003 | COUNTRY | PER | YEAR | 2015 | 60.0 | 60 | Peru 2015 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.817+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542461 | 22238907 | MDG_0000000003 | COUNTRY | PER | YEAR | 2016 | 53.0 | 53 | Peru 2018 Demographic and Health Survey (Continuous) | 2020-04-23T13:46:12.83+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
| 542462 | 22238908 | MDG_0000000003 | COUNTRY | PER | YEAR | 2017 | 44.0 | 44 | Peru 2017 Census | 2020-04-23T13:46:12.863+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Доля женщин, которые используют контрацептивы, в процентах от всех женщин в возрасте 15-49 лет. Перу
| 2012 | 2011 | 2010 |
|---|---|---|
| 75.5 | 69 | 74.4 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1244814 | 10726307 | MDG_0000000005 | COUNTRY | PER | YEAR | 2010 | 74.4 | 74.4 | 2015-05-11T11:14:08.74+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||||
| 1244787 | 10726266 | MDG_0000000005 | COUNTRY | PER | YEAR | 2011 | 69 | 69 | 2015-05-11T11:14:06.423+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||||
| 1244778 | 10726249 | MDG_0000000005 | COUNTRY | PER | YEAR | 2012 | 75.5 | 75.5 | 2015-05-11T11:14:05.343+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 |
Перу: Смертность матерей и детей
Количество материнских смертей. Перу
| 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 500 | 520 | 540 | 550 | 560 | 580 | 600 | 650 | 690 | 730 | 780 | 840 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 545389 | 21458764 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2000 | 890 [ 780 - 1 000 ] | 890 | 780 | 1000 | 2019-09-24T09:30:58.5+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 545390 | 21458765 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2001 | 840 [ 750 - 960 ] | 840 | 750 | 960 | 2019-09-24T09:30:58.533+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 545391 | 21458766 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2002 | 810 [ 720 - 910 ] | 810 | 720 | 910 | 2019-09-24T09:30:58.55+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 545392 | 21458767 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2003 | 780 [ 700 - 870 ] | 780 | 700 | 870 | 2019-09-24T09:30:58.563+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 545393 | 21458768 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2004 | 750 [ 680 - 840 ] | 750 | 680 | 840 | 2019-09-24T09:30:58.597+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 545394 | 21458769 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2005 | 730 [ 660 - 820 ] | 730 | 660 | 820 | 2019-09-24T09:30:58.61+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 545395 | 21458770 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2006 | 710 [ 630 - 790 ] | 710 | 630 | 790 | 2019-09-24T09:30:58.627+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 545396 | 21458771 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2007 | 690 [ 620 - 770 ] | 690 | 620 | 770 | 2019-09-24T09:30:58.66+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 545397 | 21458772 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2008 | 660 [ 590 - 750 ] | 660 | 590 | 750 | 2019-09-24T09:30:58.673+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 545398 | 21458773 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2009 | 650 [ 570 - 730 ] | 650 | 570 | 730 | 2019-09-24T09:30:58.69+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 545399 | 21458774 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2010 | 620 [ 540 - 710 ] | 620 | 540 | 710 | 2019-09-24T09:30:58.707+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 545400 | 21458775 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2011 | 600 [ 510 - 690 ] | 600 | 510 | 690 | 2019-09-24T09:30:58.737+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 545401 | 21458776 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2012 | 580 [ 490 - 680 ] | 580 | 490 | 680 | 2019-09-24T09:30:58.75+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 545402 | 21458777 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2013 | 560 [ 470 - 670 ] | 560 | 470 | 670 | 2019-09-24T09:30:58.767+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 545403 | 21458778 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2014 | 550 [ 450 - 660 ] | 550 | 450 | 660 | 2019-09-24T09:30:58.783+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 545404 | 21458779 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2015 | 540 [ 430 - 650 ] | 540 | 430 | 650 | 2019-09-24T09:30:58.813+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 545405 | 21458780 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2016 | 520 [ 410 - 640 ] | 520 | 410 | 640 | 2019-09-24T09:30:58.83+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 545406 | 21458781 | MORT_MATERNALNUM | COUNTRY | PER | YEAR | 2017 | 500 [ 390 - 630 ] | 500 | 390 | 630 | 2019-09-24T09:30:58.847+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. Перу
| 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 88 | 91 | 94 | 96 | 98 | 100 | 102 | 106 | 112 | 118 | 127 | 138 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 547748 | 21461003 | MDG_0000000026 | COUNTRY | PER | YEAR | 2000 | 144 [ 127 - 166 ] | 144 | 127 | 166 | 2019-09-24T09:31:52.007+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 547773 | 21461029 | MDG_0000000026 | COUNTRY | PER | YEAR | 2001 | 138 [ 122 - 157 ] | 138 | 122 | 157 | 2019-09-24T09:31:52.75+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 547789 | 21461046 | MDG_0000000026 | COUNTRY | PER | YEAR | 2002 | 132 [ 117 - 149 ] | 132 | 117 | 149 | 2019-09-24T09:31:53.213+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 547809 | 21461066 | MDG_0000000026 | COUNTRY | PER | YEAR | 2003 | 127 [ 114 - 142 ] | 127 | 114 | 142 | 2019-09-24T09:31:53.7+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 547827 | 21461085 | MDG_0000000026 | COUNTRY | PER | YEAR | 2004 | 122 [ 110 - 137 ] | 122 | 110 | 137 | 2019-09-24T09:31:54.187+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 547844 | 21461103 | MDG_0000000026 | COUNTRY | PER | YEAR | 2005 | 118 [ 106 - 132 ] | 118 | 106 | 132 | 2019-09-24T09:31:54.623+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 547862 | 21461121 | MDG_0000000026 | COUNTRY | PER | YEAR | 2006 | 114 [ 102 - 127 ] | 114 | 102 | 127 | 2019-09-24T09:31:55.05+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 547868 | 21461128 | MDG_0000000026 | COUNTRY | PER | YEAR | 2007 | 112 [ 100 - 125 ] | 112 | 100 | 125 | 2019-09-24T09:31:55.207+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 547879 | 21461139 | MDG_0000000026 | COUNTRY | PER | YEAR | 2008 | 108 [ 96 - 121 ] | 108 | 96 | 121 | 2019-09-24T09:31:55.473+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 547882 | 21461143 | MDG_0000000026 | COUNTRY | PER | YEAR | 2009 | 106 [ 93 - 120 ] | 106 | 93 | 120 | 2019-09-24T09:31:55.567+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 547888 | 21461149 | MDG_0000000026 | COUNTRY | PER | YEAR | 2010 | 104 [ 90 - 118 ] | 104 | 90 | 118 | 2019-09-24T09:31:55.71+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 547892 | 21461153 | MDG_0000000026 | COUNTRY | PER | YEAR | 2011 | 102 [ 87 - 117 ] | 102 | 87 | 117 | 2019-09-24T09:31:55.82+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 547893 | 21461154 | MDG_0000000026 | COUNTRY | PER | YEAR | 2012 | 100 [ 84 - 117 ] | 100 | 84 | 117 | 2019-09-24T09:31:55.833+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 547898 | 21461159 | MDG_0000000026 | COUNTRY | PER | YEAR | 2013 | 98 [ 81 - 116 ] | 98 | 81 | 116 | 2019-09-24T09:31:55.943+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 547904 | 21461165 | MDG_0000000026 | COUNTRY | PER | YEAR | 2014 | 96 [ 78 - 115 ] | 96 | 78 | 115 | 2019-09-24T09:31:56.07+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 547906 | 21461168 | MDG_0000000026 | COUNTRY | PER | YEAR | 2015 | 94 [ 75 - 114 ] | 94 | 75 | 114 | 2019-09-24T09:31:56.15+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 547915 | 21461177 | MDG_0000000026 | COUNTRY | PER | YEAR | 2016 | 91 [ 72 - 112 ] | 91 | 72 | 112 | 2019-09-24T09:31:56.37+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 547922 | 21461184 | MDG_0000000026 | COUNTRY | PER | YEAR | 2017 | 88 [ 69 - 110 ] | 88 | 69 | 110 | 2019-09-24T09:31:56.557+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Количество мертворожденных, на 1'000 родившихся. Перу
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7.1 | 7.2 | 7.4 | 7.6 | 7.9 | 8 | 8.3 | 8.8 | 9.2 | 10 | 11.2 | 12.2 | 13.1 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 552647 | 24437914 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2000 | 13.6 | 13.60428 | 10.54449 | 17.75469 | 2020-10-12T12:03:36.65+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 552648 | 24437915 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2001 | 13.1 | 13.10325 | 10.31928 | 16.63786 | 2020-10-12T12:03:36.683+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 552649 | 24437916 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2002 | 12.6 | 12.63412 | 10.22046 | 15.652 | 2020-10-12T12:03:36.7+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 552650 | 24437917 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2003 | 12.2 | 12.22321 | 10.10802 | 14.88727 | 2020-10-12T12:03:36.717+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 552651 | 24437918 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2004 | 11.8 | 11.78947 | 9.89692 | 14.05484 | 2020-10-12T12:03:36.747+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 552652 | 24437919 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2005 | 11.2 | 11.15113 | 9.43227 | 13.2401 | 2020-10-12T12:03:36.763+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 552653 | 24437920 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2006 | 10.5 | 10.54035 | 8.94781 | 12.37167 | 2020-10-12T12:03:36.78+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 552654 | 24437921 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2007 | 10 | 10.00585 | 8.56872 | 11.70685 | 2020-10-12T12:03:36.81+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 552655 | 24437922 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2008 | 9.6 | 9.55582 | 8.2087 | 11.15088 | 2020-10-12T12:03:36.827+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 552656 | 24437923 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2009 | 9.2 | 9.23958 | 7.95495 | 10.71261 | 2020-10-12T12:03:36.843+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 552657 | 24437924 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2010 | 9 | 8.99154 | 7.753 | 10.36581 | 2020-10-12T12:03:36.877+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 552658 | 24437925 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2011 | 8.8 | 8.75688 | 7.52026 | 10.17573 | 2020-10-12T12:03:36.907+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 552659 | 24437926 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2012 | 8.5 | 8.49365 | 7.24384 | 9.95655 | 2020-10-12T12:03:36.92+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 552660 | 24437927 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2013 | 8.3 | 8.2559 | 6.98367 | 9.75181 | 2020-10-12T12:03:36.94+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 552661 | 24437928 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2014 | 8 | 8.04372 | 6.77604 | 9.53979 | 2020-10-12T12:03:36.97+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 552662 | 24437929 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2015 | 7.9 | 7.85725 | 6.6229 | 9.29696 | 2020-10-12T12:03:37+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 552663 | 24437930 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2016 | 7.6 | 7.64842 | 6.39984 | 9.06481 | 2020-10-12T12:03:37.017+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 552664 | 24437931 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2017 | 7.4 | 7.39998 | 6.0761 | 8.91671 | 2020-10-12T12:03:37.05+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||||
| 552665 | 24437932 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2018 | 7.2 | 7.20322 | 5.75262 | 8.90287 | 2020-10-12T12:03:37.063+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||||
| 552666 | 24437933 | WHOSIS_000014 | COUNTRY | PER | YEAR | 2019 | 7.1 | 7.05049 | 5.50728 | 8.8463 | 2020-10-12T12:03:37.08+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. Перу
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Мужчины | 4'233 | 4'397 | 4'582 | 4'784 | 5'021 | 5'295 | 5'596 | 6'327 | 7'202 | 8'158 | 9'183 | 10'417 | 12'076 | 14'310 | 17'161 | 20'483 | 23'983 | 27'367 |
| Женщины | 3'330 | 3'454 | 3'596 | 3'752 | 3'936 | 4'141 | 4'382 | 4'947 | 5'635 | 6'400 | 7'259 | 8'306 | 9'734 | 11'702 | 14'261 | 17'278 | 20'476 | 23'485 |
| Оба пола | 7'563 | 7'851 | 8'178 | 8'536 | 8'957 | 9'436 | 9'978 | 11'274 | 12'837 | 14'558 | 16'442 | 18'723 | 21'810 | 26'012 | 31'422 | 37'761 | 44'459 | 50'852 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 576193 | 24209252 | CM_01 | COUNTRY | PER | YEAR | 1991 | SEX | BTSX | 50852 | 50852 | 48303 | 53555 | 2020-09-22T13:35:40.94+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 576194 | 24209253 | CM_01 | COUNTRY | PER | YEAR | 1992 | SEX | BTSX | 47730 | 47730 | 45282 | 50342 | 2020-09-22T13:35:40.987+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 576195 | 24209254 | CM_01 | COUNTRY | PER | YEAR | 1993 | SEX | BTSX | 44459 | 44459 | 42136 | 46969 | 2020-09-22T13:35:41.02+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 576196 | 24209255 | CM_01 | COUNTRY | PER | YEAR | 1994 | SEX | BTSX | 41111 | 41111 | 38934 | 43451 | 2020-09-22T13:35:41.033+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 576197 | 24209256 | CM_01 | COUNTRY | PER | YEAR | 1995 | SEX | BTSX | 37761 | 37761 | 35772 | 39923 | 2020-09-22T13:35:41.067+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 576198 | 24209257 | CM_01 | COUNTRY | PER | YEAR | 1996 | SEX | BTSX | 34511 | 34511 | 32712 | 36480 | 2020-09-22T13:35:41.08+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 576199 | 24209258 | CM_01 | COUNTRY | PER | YEAR | 1997 | SEX | BTSX | 31422 | 31422 | 29770 | 33238 | 2020-09-22T13:35:41.097+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 576200 | 24209259 | CM_01 | COUNTRY | PER | YEAR | 1998 | SEX | BTSX | 28585 | 28585 | 27064 | 30236 | 2020-09-22T13:35:41.13+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 576201 | 24209260 | CM_01 | COUNTRY | PER | YEAR | 1999 | SEX | BTSX | 26012 | 26012 | 24596 | 27532 | 2020-09-22T13:35:41.143+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 576202 | 24209261 | CM_01 | COUNTRY | PER | YEAR | 2000 | SEX | BTSX | 23759 | 23759 | 22394 | 25189 | 2020-09-22T13:35:41.16+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 576203 | 24209262 | CM_01 | COUNTRY | PER | YEAR | 2001 | SEX | BTSX | 21810 | 21810 | 20502 | 23143 | 2020-09-22T13:35:41.19+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 576204 | 24209263 | CM_01 | COUNTRY | PER | YEAR | 2002 | SEX | BTSX | 20149 | 20149 | 18909 | 21407 | 2020-09-22T13:35:41.207+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 576205 | 24209264 | CM_01 | COUNTRY | PER | YEAR | 2003 | SEX | BTSX | 18723 | 18723 | 17563 | 19919 | 2020-09-22T13:35:41.237+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 576206 | 24209265 | CM_01 | COUNTRY | PER | YEAR | 2004 | SEX | BTSX | 17510 | 17510 | 16435 | 18622 | 2020-09-22T13:35:41.253+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 576207 | 24209266 | CM_01 | COUNTRY | PER | YEAR | 2005 | SEX | BTSX | 16442 | 16442 | 15450 | 17480 | 2020-09-22T13:35:41.283+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 576208 | 24209267 | CM_01 | COUNTRY | PER | YEAR | 2006 | SEX | BTSX | 15469 | 15469 | 14550 | 16445 | 2020-09-22T13:35:41.3+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 576209 | 24209268 | CM_01 | COUNTRY | PER | YEAR | 2007 | SEX | BTSX | 14558 | 14558 | 13681 | 15479 | 2020-09-22T13:35:41.33+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 576210 | 24209269 | CM_01 | COUNTRY | PER | YEAR | 2008 | SEX | BTSX | 13681 | 13681 | 12852 | 14565 | 2020-09-22T13:35:41.347+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 576211 | 24209270 | CM_01 | COUNTRY | PER | YEAR | 2009 | SEX | BTSX | 12837 | 12837 | 12025 | 13692 | 2020-09-22T13:35:41.38+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 576212 | 24209271 | CM_01 | COUNTRY | PER | YEAR | 2010 | SEX | BTSX | 12031 | 12031 | 11234 | 12890 | 2020-09-22T13:35:41.393+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 576213 | 24209272 | CM_01 | COUNTRY | PER | YEAR | 2011 | SEX | BTSX | 11274 | 11274 | 10470 | 12149 | 2020-09-22T13:35:41.427+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 576214 | 24209273 | CM_01 | COUNTRY | PER | YEAR | 2012 | SEX | BTSX | 10588 | 10588 | 9747 | 11504 | 2020-09-22T13:35:41.44+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 576215 | 24209274 | CM_01 | COUNTRY | PER | YEAR | 2013 | SEX | BTSX | 9978 | 9978 | 9094 | 10947 | 2020-09-22T13:35:41.473+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 576216 | 24209275 | CM_01 | COUNTRY | PER | YEAR | 2014 | SEX | BTSX | 9436 | 9436 | 8487 | 10496 | 2020-09-22T13:35:41.487+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 576217 | 24209276 | CM_01 | COUNTRY | PER | YEAR | 2015 | SEX | BTSX | 8957 | 8957 | 7934 | 10127 | 2020-09-22T13:35:41.52+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 576218 | 24209277 | CM_01 | COUNTRY | PER | YEAR | 2016 | SEX | BTSX | 8536 | 8536 | 7419 | 9872 | 2020-09-22T13:35:41.533+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 576219 | 24209278 | CM_01 | COUNTRY | PER | YEAR | 2017 | SEX | BTSX | 8178 | 8178 | 6959 | 9660 | 2020-09-22T13:35:41.567+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 576220 | 24209279 | CM_01 | COUNTRY | PER | YEAR | 2018 | SEX | BTSX | 7851 | 7851 | 6538 | 9498 | 2020-09-22T13:35:41.58+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 576221 | 24209280 | CM_01 | COUNTRY | PER | YEAR | 2019 | SEX | BTSX | 7563 | 7563 | 6135 | 9418 | 2020-09-22T13:35:41.613+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 576256 | 24209315 | CM_01 | COUNTRY | PER | YEAR | 1991 | SEX | FMLE | 23485 | 23485 | 22245 | 24759 | 2020-09-22T13:35:42.41+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 576257 | 24209316 | CM_01 | COUNTRY | PER | YEAR | 1992 | SEX | FMLE | 22013 | 22013 | 20828 | 23267 | 2020-09-22T13:35:42.427+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 576258 | 24209317 | CM_01 | COUNTRY | PER | YEAR | 1993 | SEX | FMLE | 20476 | 20476 | 19353 | 21649 | 2020-09-22T13:35:42.457+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 576259 | 24209318 | CM_01 | COUNTRY | PER | YEAR | 1994 | SEX | FMLE | 18880 | 18880 | 17842 | 20004 | 2020-09-22T13:35:42.487+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 576260 | 24209319 | CM_01 | COUNTRY | PER | YEAR | 1995 | SEX | FMLE | 17278 | 17278 | 16338 | 18313 | 2020-09-22T13:35:42.503+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 576261 | 24209320 | CM_01 | COUNTRY | PER | YEAR | 1996 | SEX | FMLE | 15729 | 15729 | 14875 | 16668 | 2020-09-22T13:35:42.533+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 576262 | 24209321 | CM_01 | COUNTRY | PER | YEAR | 1997 | SEX | FMLE | 14261 | 14261 | 13488 | 15122 | 2020-09-22T13:35:42.55+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 576263 | 24209322 | CM_01 | COUNTRY | PER | YEAR | 1998 | SEX | FMLE | 12905 | 12905 | 12188 | 13681 | 2020-09-22T13:35:42.58+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 576264 | 24209323 | CM_01 | COUNTRY | PER | YEAR | 1999 | SEX | FMLE | 11702 | 11702 | 11031 | 12426 | 2020-09-22T13:35:42.597+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 576265 | 24209324 | CM_01 | COUNTRY | PER | YEAR | 2000 | SEX | FMLE | 10649 | 10649 | 10012 | 11312 | 2020-09-22T13:35:42.63+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 576266 | 24209325 | CM_01 | COUNTRY | PER | YEAR | 2001 | SEX | FMLE | 9734 | 9734 | 9123 | 10354 | 2020-09-22T13:35:42.643+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 576267 | 24209326 | CM_01 | COUNTRY | PER | YEAR | 2002 | SEX | FMLE | 8978 | 8978 | 8398 | 9565 | 2020-09-22T13:35:42.677+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 576268 | 24209327 | CM_01 | COUNTRY | PER | YEAR | 2003 | SEX | FMLE | 8306 | 8306 | 7769 | 8865 | 2020-09-22T13:35:42.69+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 576269 | 24209328 | CM_01 | COUNTRY | PER | YEAR | 2004 | SEX | FMLE | 7755 | 7755 | 7250 | 8273 | 2020-09-22T13:35:42.707+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 576270 | 24209329 | CM_01 | COUNTRY | PER | YEAR | 2005 | SEX | FMLE | 7259 | 7259 | 6793 | 7749 | 2020-09-22T13:35:42.737+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 576271 | 24209330 | CM_01 | COUNTRY | PER | YEAR | 2006 | SEX | FMLE | 6824 | 6824 | 6389 | 7279 | 2020-09-22T13:35:42.753+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 576272 | 24209331 | CM_01 | COUNTRY | PER | YEAR | 2007 | SEX | FMLE | 6400 | 6400 | 5987 | 6826 | 2020-09-22T13:35:42.783+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 576273 | 24209332 | CM_01 | COUNTRY | PER | YEAR | 2008 | SEX | FMLE | 6010 | 6010 | 5621 | 6414 | 2020-09-22T13:35:42.8+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 576274 | 24209333 | CM_01 | COUNTRY | PER | YEAR | 2009 | SEX | FMLE | 5635 | 5635 | 5257 | 6027 | 2020-09-22T13:35:42.83+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 576275 | 24209334 | CM_01 | COUNTRY | PER | YEAR | 2010 | SEX | FMLE | 5277 | 5277 | 4906 | 5675 | 2020-09-22T13:35:42.847+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 576276 | 24209335 | CM_01 | COUNTRY | PER | YEAR | 2011 | SEX | FMLE | 4947 | 4947 | 4576 | 5353 | 2020-09-22T13:35:42.94+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 576277 | 24209336 | CM_01 | COUNTRY | PER | YEAR | 2012 | SEX | FMLE | 4648 | 4648 | 4266 | 5075 | 2020-09-22T13:35:43.02+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 576278 | 24209337 | CM_01 | COUNTRY | PER | YEAR | 2013 | SEX | FMLE | 4382 | 4382 | 3985 | 4832 | 2020-09-22T13:35:43.05+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 576279 | 24209338 | CM_01 | COUNTRY | PER | YEAR | 2014 | SEX | FMLE | 4141 | 4141 | 3716 | 4627 | 2020-09-22T13:35:43.08+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 576280 | 24209339 | CM_01 | COUNTRY | PER | YEAR | 2015 | SEX | FMLE | 3936 | 3936 | 3476 | 4473 | 2020-09-22T13:35:43.113+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 576281 | 24209340 | CM_01 | COUNTRY | PER | YEAR | 2016 | SEX | FMLE | 3752 | 3752 | 3256 | 4357 | 2020-09-22T13:35:43.13+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 576282 | 24209341 | CM_01 | COUNTRY | PER | YEAR | 2017 | SEX | FMLE | 3596 | 3596 | 3054 | 4264 | 2020-09-22T13:35:43.16+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 576283 | 24209342 | CM_01 | COUNTRY | PER | YEAR | 2018 | SEX | FMLE | 3454 | 3454 | 2869 | 4190 | 2020-09-22T13:35:43.177+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 576284 | 24209343 | CM_01 | COUNTRY | PER | YEAR | 2019 | SEX | FMLE | 3330 | 3330 | 2691 | 4156 | 2020-09-22T13:35:43.19+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 576319 | 24209378 | CM_01 | COUNTRY | PER | YEAR | 1991 | SEX | MLE | 27367 | 27367 | 25967 | 28865 | 2020-09-22T13:35:43.987+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 576320 | 24209379 | CM_01 | COUNTRY | PER | YEAR | 1992 | SEX | MLE | 25717 | 25717 | 24367 | 27173 | 2020-09-22T13:35:44.003+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 576321 | 24209380 | CM_01 | COUNTRY | PER | YEAR | 1993 | SEX | MLE | 23983 | 23983 | 22685 | 25380 | 2020-09-22T13:35:44.02+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 576322 | 24209381 | CM_01 | COUNTRY | PER | YEAR | 1994 | SEX | MLE | 22231 | 22231 | 20997 | 23541 | 2020-09-22T13:35:44.033+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 576323 | 24209382 | CM_01 | COUNTRY | PER | YEAR | 1995 | SEX | MLE | 20483 | 20483 | 19359 | 21693 | 2020-09-22T13:35:44.067+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 576324 | 24209383 | CM_01 | COUNTRY | PER | YEAR | 1996 | SEX | MLE | 18782 | 18782 | 17755 | 19886 | 2020-09-22T13:35:44.08+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 576325 | 24209384 | CM_01 | COUNTRY | PER | YEAR | 1997 | SEX | MLE | 17161 | 17161 | 16223 | 18175 | 2020-09-22T13:35:44.097+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 576326 | 24209385 | CM_01 | COUNTRY | PER | YEAR | 1998 | SEX | MLE | 15680 | 15680 | 14806 | 16607 | 2020-09-22T13:35:44.113+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 576327 | 24209386 | CM_01 | COUNTRY | PER | YEAR | 1999 | SEX | MLE | 14310 | 14310 | 13504 | 15177 | 2020-09-22T13:35:44.143+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 576328 | 24209387 | CM_01 | COUNTRY | PER | YEAR | 2000 | SEX | MLE | 13110 | 13110 | 12335 | 13917 | 2020-09-22T13:35:44.16+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 576329 | 24209388 | CM_01 | COUNTRY | PER | YEAR | 2001 | SEX | MLE | 12076 | 12076 | 11340 | 12838 | 2020-09-22T13:35:44.177+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 576330 | 24209389 | CM_01 | COUNTRY | PER | YEAR | 2002 | SEX | MLE | 11171 | 11171 | 10461 | 11892 | 2020-09-22T13:35:44.207+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 576331 | 24209390 | CM_01 | COUNTRY | PER | YEAR | 2003 | SEX | MLE | 10417 | 10417 | 9747 | 11099 | 2020-09-22T13:35:44.223+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 576332 | 24209391 | CM_01 | COUNTRY | PER | YEAR | 2004 | SEX | MLE | 9755 | 9755 | 9134 | 10394 | 2020-09-22T13:35:44.237+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 576333 | 24209392 | CM_01 | COUNTRY | PER | YEAR | 2005 | SEX | MLE | 9183 | 9183 | 8607 | 9792 | 2020-09-22T13:35:44.27+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 576334 | 24209393 | CM_01 | COUNTRY | PER | YEAR | 2006 | SEX | MLE | 8645 | 8645 | 8109 | 9216 | 2020-09-22T13:35:44.283+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 576335 | 24209394 | CM_01 | COUNTRY | PER | YEAR | 2007 | SEX | MLE | 8158 | 8158 | 7650 | 8694 | 2020-09-22T13:35:44.3+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 576336 | 24209395 | CM_01 | COUNTRY | PER | YEAR | 2008 | SEX | MLE | 7671 | 7671 | 7189 | 8181 | 2020-09-22T13:35:44.317+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 576337 | 24209396 | CM_01 | COUNTRY | PER | YEAR | 2009 | SEX | MLE | 7202 | 7202 | 6733 | 7705 | 2020-09-22T13:35:44.347+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 576338 | 24209397 | CM_01 | COUNTRY | PER | YEAR | 2010 | SEX | MLE | 6754 | 6754 | 6282 | 7256 | 2020-09-22T13:35:44.363+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 576339 | 24209398 | CM_01 | COUNTRY | PER | YEAR | 2011 | SEX | MLE | 6327 | 6327 | 5860 | 6843 | 2020-09-22T13:35:44.38+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 576340 | 24209399 | CM_01 | COUNTRY | PER | YEAR | 2012 | SEX | MLE | 5940 | 5940 | 5458 | 6464 | 2020-09-22T13:35:44.41+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 576341 | 24209400 | CM_01 | COUNTRY | PER | YEAR | 2013 | SEX | MLE | 5596 | 5596 | 5086 | 6146 | 2020-09-22T13:35:44.44+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 576342 | 24209401 | CM_01 | COUNTRY | PER | YEAR | 2014 | SEX | MLE | 5295 | 5295 | 4745 | 5890 | 2020-09-22T13:35:44.457+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 576343 | 24209402 | CM_01 | COUNTRY | PER | YEAR | 2015 | SEX | MLE | 5021 | 5021 | 4433 | 5685 | 2020-09-22T13:35:44.473+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 576344 | 24209403 | CM_01 | COUNTRY | PER | YEAR | 2016 | SEX | MLE | 4784 | 4784 | 4154 | 5536 | 2020-09-22T13:35:44.503+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 576345 | 24209404 | CM_01 | COUNTRY | PER | YEAR | 2017 | SEX | MLE | 4582 | 4582 | 3893 | 5418 | 2020-09-22T13:35:44.52+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 576346 | 24209405 | CM_01 | COUNTRY | PER | YEAR | 2018 | SEX | MLE | 4397 | 4397 | 3651 | 5339 | 2020-09-22T13:35:44.533+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 576347 | 24209406 | CM_01 | COUNTRY | PER | YEAR | 2019 | SEX | MLE | 4233 | 4233 | 3430 | 5286 | 2020-09-22T13:35:44.567+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. Перу
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Мужчины | 14.4 | 15 | 15.7 | 16.4 | 17.1 | 18 | 18.8 | 20.7 | 23 | 25.8 | 29.2 | 33.3 | 38.5 | 44.9 | 52.7 | 61.5 | 70.7 | 79.9 |
| Женщины | 11.9 | 12.4 | 12.9 | 13.5 | 14.1 | 14.8 | 15.5 | 17 | 18.9 | 21.3 | 24.2 | 27.9 | 32.5 | 38.5 | 45.9 | 54.3 | 63.2 | 71.9 |
| Оба пола | 13.2 | 13.7 | 14.3 | 15 | 15.7 | 16.4 | 17.2 | 18.9 | 21 | 23.6 | 26.8 | 30.6 | 35.6 | 41.8 | 49.4 | 58 | 67.1 | 76 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 609659 | 24318351 | MDG_0000000007 | COUNTRY | PER | YEAR | 1991 | SEX | BTSX | 76 | 75.9644 | 72.13308 | 80.02401 | 2020-09-22T14:39:12.9+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 609660 | 24318352 | MDG_0000000007 | COUNTRY | PER | YEAR | 1992 | SEX | BTSX | 71.6 | 71.55335 | 67.86289 | 75.48882 | 2020-09-22T14:39:12.933+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 609661 | 24318353 | MDG_0000000007 | COUNTRY | PER | YEAR | 1993 | SEX | BTSX | 67.1 | 67.05561 | 63.53913 | 70.85685 | 2020-09-22T14:39:12.967+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 609662 | 24318354 | MDG_0000000007 | COUNTRY | PER | YEAR | 1994 | SEX | BTSX | 62.5 | 62.5146 | 59.19749 | 66.07762 | 2020-09-22T14:39:13.027+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 609663 | 24318355 | MDG_0000000007 | COUNTRY | PER | YEAR | 1995 | SEX | BTSX | 58 | 57.98989 | 54.92156 | 61.31926 | 2020-09-22T14:39:13.057+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 609664 | 24318356 | MDG_0000000007 | COUNTRY | PER | YEAR | 1996 | SEX | BTSX | 53.6 | 53.58515 | 50.77495 | 56.64711 | 2020-09-22T14:39:13.103+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 609665 | 24318357 | MDG_0000000007 | COUNTRY | PER | YEAR | 1997 | SEX | BTSX | 49.4 | 49.35495 | 46.76197 | 52.21501 | 2020-09-22T14:39:13.12+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 609666 | 24318358 | MDG_0000000007 | COUNTRY | PER | YEAR | 1998 | SEX | BTSX | 45.4 | 45.41361 | 42.9882 | 48.04381 | 2020-09-22T14:39:13.15+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 609667 | 24318359 | MDG_0000000007 | COUNTRY | PER | YEAR | 1999 | SEX | BTSX | 41.8 | 41.76521 | 39.4845 | 44.21148 | 2020-09-22T14:39:13.183+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 609668 | 24318360 | MDG_0000000007 | COUNTRY | PER | YEAR | 2000 | SEX | BTSX | 38.5 | 38.49248 | 36.28007 | 40.80909 | 2020-09-22T14:39:13.213+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 609669 | 24318361 | MDG_0000000007 | COUNTRY | PER | YEAR | 2001 | SEX | BTSX | 35.6 | 35.56171 | 33.42535 | 37.73871 | 2020-09-22T14:39:13.243+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 609670 | 24318362 | MDG_0000000007 | COUNTRY | PER | YEAR | 2002 | SEX | BTSX | 33 | 32.96117 | 30.92627 | 35.02428 | 2020-09-22T14:39:13.26+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 609671 | 24318363 | MDG_0000000007 | COUNTRY | PER | YEAR | 2003 | SEX | BTSX | 30.6 | 30.63957 | 28.73485 | 32.60293 | 2020-09-22T14:39:13.277+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 609672 | 24318364 | MDG_0000000007 | COUNTRY | PER | YEAR | 2004 | SEX | BTSX | 28.6 | 28.59394 | 26.83608 | 30.41497 | 2020-09-22T14:39:13.307+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 609673 | 24318365 | MDG_0000000007 | COUNTRY | PER | YEAR | 2005 | SEX | BTSX | 26.8 | 26.76006 | 25.13745 | 28.45526 | 2020-09-22T14:39:13.323+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 609674 | 24318366 | MDG_0000000007 | COUNTRY | PER | YEAR | 2006 | SEX | BTSX | 25.1 | 25.10254 | 23.60826 | 26.69108 | 2020-09-22T14:39:13.34+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 609675 | 24318367 | MDG_0000000007 | COUNTRY | PER | YEAR | 2007 | SEX | BTSX | 23.6 | 23.60727 | 22.18174 | 25.10604 | 2020-09-22T14:39:13.37+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 609676 | 24318368 | MDG_0000000007 | COUNTRY | PER | YEAR | 2008 | SEX | BTSX | 22.2 | 22.24709 | 20.89531 | 23.6898 | 2020-09-22T14:39:13.387+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 609677 | 24318369 | MDG_0000000007 | COUNTRY | PER | YEAR | 2009 | SEX | BTSX | 21 | 21.01597 | 19.6827 | 22.41605 | 2020-09-22T14:39:13.417+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 609678 | 24318370 | MDG_0000000007 | COUNTRY | PER | YEAR | 2010 | SEX | BTSX | 19.9 | 19.9039 | 18.58324 | 21.3276 | 2020-09-22T14:39:13.433+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 609679 | 24318371 | MDG_0000000007 | COUNTRY | PER | YEAR | 2011 | SEX | BTSX | 18.9 | 18.89777 | 17.54735 | 20.36686 | 2020-09-22T14:39:13.463+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 609680 | 24318372 | MDG_0000000007 | COUNTRY | PER | YEAR | 2012 | SEX | BTSX | 18 | 17.99681 | 16.56587 | 19.55319 | 2020-09-22T14:39:13.48+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 609681 | 24318373 | MDG_0000000007 | COUNTRY | PER | YEAR | 2013 | SEX | BTSX | 17.2 | 17.17531 | 15.65161 | 18.84102 | 2020-09-22T14:39:13.51+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 609682 | 24318374 | MDG_0000000007 | COUNTRY | PER | YEAR | 2014 | SEX | BTSX | 16.4 | 16.40429 | 14.75108 | 18.24852 | 2020-09-22T14:39:13.527+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 609683 | 24318375 | MDG_0000000007 | COUNTRY | PER | YEAR | 2015 | SEX | BTSX | 15.7 | 15.67139 | 13.88008 | 17.72048 | 2020-09-22T14:39:13.54+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 609684 | 24318376 | MDG_0000000007 | COUNTRY | PER | YEAR | 2016 | SEX | BTSX | 15 | 14.97436 | 13.0139 | 17.3219 | 2020-09-22T14:39:13.573+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 609685 | 24318377 | MDG_0000000007 | COUNTRY | PER | YEAR | 2017 | SEX | BTSX | 14.3 | 14.34335 | 12.20335 | 16.94541 | 2020-09-22T14:39:13.59+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 609686 | 24318378 | MDG_0000000007 | COUNTRY | PER | YEAR | 2018 | SEX | BTSX | 13.7 | 13.74591 | 11.44564 | 16.63193 | 2020-09-22T14:39:13.603+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 609687 | 24318379 | MDG_0000000007 | COUNTRY | PER | YEAR | 2019 | SEX | BTSX | 13.2 | 13.21504 | 10.71822 | 16.45314 | 2020-09-22T14:39:13.637+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 609727 | 24318419 | MDG_0000000007 | COUNTRY | PER | YEAR | 1991 | SEX | FMLE | 71.9 | 71.85722 | 68.05543 | 75.78532 | 2020-09-22T14:39:14.853+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 609728 | 24318420 | MDG_0000000007 | COUNTRY | PER | YEAR | 1992 | SEX | FMLE | 67.6 | 67.58715 | 63.94313 | 71.45652 | 2020-09-22T14:39:14.917+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 609729 | 24318421 | MDG_0000000007 | COUNTRY | PER | YEAR | 1993 | SEX | FMLE | 63.2 | 63.23093 | 59.77404 | 66.90091 | 2020-09-22T14:39:14.98+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 609730 | 24318422 | MDG_0000000007 | COUNTRY | PER | YEAR | 1994 | SEX | FMLE | 58.8 | 58.7864 | 55.55415 | 62.31271 | 2020-09-22T14:39:14.993+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 609731 | 24318423 | MDG_0000000007 | COUNTRY | PER | YEAR | 1995 | SEX | FMLE | 54.3 | 54.3434 | 51.37448 | 57.60496 | 2020-09-22T14:39:15.027+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 609732 | 24318424 | MDG_0000000007 | COUNTRY | PER | YEAR | 1996 | SEX | FMLE | 50 | 50.00846 | 47.29922 | 53.01533 | 2020-09-22T14:39:15.057+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 609733 | 24318425 | MDG_0000000007 | COUNTRY | PER | YEAR | 1997 | SEX | FMLE | 45.9 | 45.87975 | 43.38271 | 48.65583 | 2020-09-22T14:39:15.103+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 609734 | 24318426 | MDG_0000000007 | COUNTRY | PER | YEAR | 1998 | SEX | FMLE | 42 | 41.99227 | 39.65628 | 44.52986 | 2020-09-22T14:39:15.12+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 609735 | 24318427 | MDG_0000000007 | COUNTRY | PER | YEAR | 1999 | SEX | FMLE | 38.5 | 38.4989 | 36.27352 | 40.87385 | 2020-09-22T14:39:15.15+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 609736 | 24318428 | MDG_0000000007 | COUNTRY | PER | YEAR | 2000 | SEX | FMLE | 35.3 | 35.34776 | 33.22617 | 37.5522 | 2020-09-22T14:39:15.167+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 609737 | 24318429 | MDG_0000000007 | COUNTRY | PER | YEAR | 2001 | SEX | FMLE | 32.5 | 32.51919 | 30.46933 | 34.5993 | 2020-09-22T14:39:15.2+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 609738 | 24318430 | MDG_0000000007 | COUNTRY | PER | YEAR | 2002 | SEX | FMLE | 30.1 | 30.08709 | 28.14518 | 32.0646 | 2020-09-22T14:39:15.213+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 609739 | 24318431 | MDG_0000000007 | COUNTRY | PER | YEAR | 2003 | SEX | FMLE | 27.9 | 27.86199 | 26.04811 | 29.73318 | 2020-09-22T14:39:15.243+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 609740 | 24318432 | MDG_0000000007 | COUNTRY | PER | YEAR | 2004 | SEX | FMLE | 26 | 25.95348 | 24.25783 | 27.69043 | 2020-09-22T14:39:15.26+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 609741 | 24318433 | MDG_0000000007 | COUNTRY | PER | YEAR | 2005 | SEX | FMLE | 24.2 | 24.21085 | 22.65221 | 25.8483 | 2020-09-22T14:39:15.277+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 609742 | 24318434 | MDG_0000000007 | COUNTRY | PER | YEAR | 2006 | SEX | FMLE | 22.7 | 22.69807 | 21.24529 | 24.2122 | 2020-09-22T14:39:15.307+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 609743 | 24318435 | MDG_0000000007 | COUNTRY | PER | YEAR | 2007 | SEX | FMLE | 21.3 | 21.26469 | 19.89437 | 22.68849 | 2020-09-22T14:39:15.34+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 609744 | 24318436 | MDG_0000000007 | COUNTRY | PER | YEAR | 2008 | SEX | FMLE | 20 | 20.02861 | 18.72818 | 21.37925 | 2020-09-22T14:39:15.37+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 609745 | 24318437 | MDG_0000000007 | COUNTRY | PER | YEAR | 2009 | SEX | FMLE | 18.9 | 18.90719 | 17.63644 | 20.22162 | 2020-09-22T14:39:15.387+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 609746 | 24318438 | MDG_0000000007 | COUNTRY | PER | YEAR | 2010 | SEX | FMLE | 17.9 | 17.88823 | 16.62786 | 19.24248 | 2020-09-22T14:39:15.4+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 609747 | 24318439 | MDG_0000000007 | COUNTRY | PER | YEAR | 2011 | SEX | FMLE | 17 | 16.99902 | 15.71748 | 18.38721 | 2020-09-22T14:39:15.433+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 609748 | 24318440 | MDG_0000000007 | COUNTRY | PER | YEAR | 2012 | SEX | FMLE | 16.2 | 16.18829 | 14.85671 | 17.67787 | 2020-09-22T14:39:15.45+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 609749 | 24318441 | MDG_0000000007 | COUNTRY | PER | YEAR | 2013 | SEX | FMLE | 15.5 | 15.45239 | 14.05231 | 17.04405 | 2020-09-22T14:39:15.48+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 609750 | 24318442 | MDG_0000000007 | COUNTRY | PER | YEAR | 2014 | SEX | FMLE | 14.8 | 14.75072 | 13.23832 | 16.48695 | 2020-09-22T14:39:15.493+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 609751 | 24318443 | MDG_0000000007 | COUNTRY | PER | YEAR | 2015 | SEX | FMLE | 14.1 | 14.09946 | 12.46431 | 16.03794 | 2020-09-22T14:39:15.51+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 609752 | 24318444 | MDG_0000000007 | COUNTRY | PER | YEAR | 2016 | SEX | FMLE | 13.5 | 13.49323 | 11.70528 | 15.66779 | 2020-09-22T14:39:15.54+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 609753 | 24318445 | MDG_0000000007 | COUNTRY | PER | YEAR | 2017 | SEX | FMLE | 12.9 | 12.92121 | 10.97762 | 15.32883 | 2020-09-22T14:39:15.557+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 609754 | 24318446 | MDG_0000000007 | COUNTRY | PER | YEAR | 2018 | SEX | FMLE | 12.4 | 12.39999 | 10.29567 | 15.04021 | 2020-09-22T14:39:15.59+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 609755 | 24318447 | MDG_0000000007 | COUNTRY | PER | YEAR | 2019 | SEX | FMLE | 11.9 | 11.93087 | 9.63646 | 14.88625 | 2020-09-22T14:39:15.603+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 609795 | 24318487 | MDG_0000000007 | COUNTRY | PER | YEAR | 1991 | SEX | MLE | 79.9 | 79.86266 | 75.7548 | 84.26056 | 2020-09-22T14:39:16.493+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 609796 | 24318488 | MDG_0000000007 | COUNTRY | PER | YEAR | 1992 | SEX | MLE | 75.3 | 75.31625 | 71.3621 | 79.61328 | 2020-09-22T14:39:16.51+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 609797 | 24318489 | MDG_0000000007 | COUNTRY | PER | YEAR | 1993 | SEX | MLE | 70.7 | 70.65379 | 66.841 | 74.82573 | 2020-09-22T14:39:16.54+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 609798 | 24318490 | MDG_0000000007 | COUNTRY | PER | YEAR | 1994 | SEX | MLE | 66 | 66.04248 | 62.3832 | 69.96583 | 2020-09-22T14:39:16.557+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 609799 | 24318491 | MDG_0000000007 | COUNTRY | PER | YEAR | 1995 | SEX | MLE | 61.5 | 61.47036 | 58.07708 | 65.10116 | 2020-09-22T14:39:16.573+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 609800 | 24318492 | MDG_0000000007 | COUNTRY | PER | YEAR | 1996 | SEX | MLE | 57 | 56.97325 | 53.85942 | 60.34914 | 2020-09-22T14:39:16.603+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 609801 | 24318493 | MDG_0000000007 | COUNTRY | PER | YEAR | 1997 | SEX | MLE | 52.7 | 52.66793 | 49.77794 | 55.79335 | 2020-09-22T14:39:16.62+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 609802 | 24318494 | MDG_0000000007 | COUNTRY | PER | YEAR | 1998 | SEX | MLE | 48.7 | 48.66702 | 45.94984 | 51.55732 | 2020-09-22T14:39:16.65+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 609803 | 24318495 | MDG_0000000007 | COUNTRY | PER | YEAR | 1999 | SEX | MLE | 44.9 | 44.90615 | 42.34791 | 47.61618 | 2020-09-22T14:39:16.667+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 609804 | 24318496 | MDG_0000000007 | COUNTRY | PER | YEAR | 2000 | SEX | MLE | 41.5 | 41.49638 | 39.03305 | 44.05797 | 2020-09-22T14:39:16.7+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 609805 | 24318497 | MDG_0000000007 | COUNTRY | PER | YEAR | 2001 | SEX | MLE | 38.5 | 38.46846 | 36.11932 | 40.90011 | 2020-09-22T14:39:16.713+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 609806 | 24318498 | MDG_0000000007 | COUNTRY | PER | YEAR | 2002 | SEX | MLE | 35.7 | 35.68637 | 33.42105 | 38.00461 | 2020-09-22T14:39:16.73+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 609807 | 24318499 | MDG_0000000007 | COUNTRY | PER | YEAR | 2003 | SEX | MLE | 33.3 | 33.30597 | 31.15082 | 35.48772 | 2020-09-22T14:39:16.76+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 609808 | 24318500 | MDG_0000000007 | COUNTRY | PER | YEAR | 2004 | SEX | MLE | 31.1 | 31.10856 | 29.12682 | 33.1592 | 2020-09-22T14:39:16.777+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 609809 | 24318501 | MDG_0000000007 | COUNTRY | PER | YEAR | 2005 | SEX | MLE | 29.2 | 29.1879 | 27.35249 | 31.12862 | 2020-09-22T14:39:16.79+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 609810 | 24318502 | MDG_0000000007 | COUNTRY | PER | YEAR | 2006 | SEX | MLE | 27.4 | 27.40147 | 25.69392 | 29.21193 | 2020-09-22T14:39:16.823+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 609811 | 24318503 | MDG_0000000007 | COUNTRY | PER | YEAR | 2007 | SEX | MLE | 25.8 | 25.82618 | 24.22324 | 27.54248 | 2020-09-22T14:39:16.84+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 609812 | 24318504 | MDG_0000000007 | COUNTRY | PER | YEAR | 2008 | SEX | MLE | 24.4 | 24.36307 | 22.82541 | 25.98672 | 2020-09-22T14:39:16.853+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 609813 | 24318505 | MDG_0000000007 | COUNTRY | PER | YEAR | 2009 | SEX | MLE | 23 | 23.0291 | 21.52608 | 24.64007 | 2020-09-22T14:39:16.87+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 609814 | 24318506 | MDG_0000000007 | COUNTRY | PER | YEAR | 2010 | SEX | MLE | 21.8 | 21.82063 | 20.29409 | 23.44745 | 2020-09-22T14:39:16.9+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 609815 | 24318507 | MDG_0000000007 | COUNTRY | PER | YEAR | 2011 | SEX | MLE | 20.7 | 20.72292 | 19.18227 | 22.40333 | 2020-09-22T14:39:16.917+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 609816 | 24318508 | MDG_0000000007 | COUNTRY | PER | YEAR | 2012 | SEX | MLE | 19.7 | 19.71988 | 18.11454 | 21.45701 | 2020-09-22T14:39:16.933+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 609817 | 24318509 | MDG_0000000007 | COUNTRY | PER | YEAR | 2013 | SEX | MLE | 18.8 | 18.8103 | 17.09565 | 20.6635 | 2020-09-22T14:39:16.963+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 609818 | 24318510 | MDG_0000000007 | COUNTRY | PER | YEAR | 2014 | SEX | MLE | 18 | 17.97002 | 16.10987 | 19.99852 | 2020-09-22T14:39:16.98+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 609819 | 24318511 | MDG_0000000007 | COUNTRY | PER | YEAR | 2015 | SEX | MLE | 17.1 | 17.14189 | 15.14206 | 19.42793 | 2020-09-22T14:39:16.993+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 609820 | 24318512 | MDG_0000000007 | COUNTRY | PER | YEAR | 2016 | SEX | MLE | 16.4 | 16.39457 | 14.22868 | 18.96368 | 2020-09-22T14:39:17.01+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 609821 | 24318513 | MDG_0000000007 | COUNTRY | PER | YEAR | 2017 | SEX | MLE | 15.7 | 15.68503 | 13.33171 | 18.55792 | 2020-09-22T14:39:17.04+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 609822 | 24318514 | MDG_0000000007 | COUNTRY | PER | YEAR | 2018 | SEX | MLE | 15 | 15.04112 | 12.48295 | 18.25656 | 2020-09-22T14:39:17.057+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 609823 | 24318515 | MDG_0000000007 | COUNTRY | PER | YEAR | 2019 | SEX | MLE | 14.4 | 14.44834 | 11.70011 | 18.03711 | 2020-09-22T14:39:17.09+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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