Источник данных: Всемирная организация здравоохранения (ВОЗ)
Последнее обновление данных: 27.12.2020
Бразилия: Общие индикаторы материнства
Среднее количество детей на одну женщину в возрасте от 15 до 49 лет. Бразилия
2016 | 2013 | 2012 | 2011 |
---|---|---|---|
1.7 | 1.8 | 1.81 | 1.82 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1251640 | archive3786 | WHS9_95 | COUNTRY | BRA | YEAR | 2011 | 1.82 | 1.82 | From diBit's archive | 1 | ||||||||||||||
1251641 | archive3812 | WHS9_95 | COUNTRY | BRA | YEAR | 2012 | 1.81 | 1.81 | From diBit's archive | 1 | ||||||||||||||
1251642 | archive49469 | WHS9_95 | COUNTRY | BRA | YEAR | 2013 | 1.8 | 1.801 | From diBit's archive | 1 | ||||||||||||||
539983 | 18117476 | WHS9_95 | COUNTRY | BRA | YEAR | 2016 | 1.7 | 1.726 | 2018-03-15T14:37:27.347+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. Бразилия
2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2010 | 2008 | 2006 | 2004 | 2002 | 2000 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
92.2 | 91.7 | 91.3 | 90.9 | 90 | 88.9 | 88.7 | 90.2 | 89.3 | 87.9 | 86 | 83.1 | 79.3 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1263580 | 22384114 | WHS4_154 | COUNTRY | BRA | YEAR | 1996 | 77 | 77 | DHS 1996.Sociedade Civil Bem-Estar Familiar no [Brazil], BEMFAM, Programa de Pesquisas de Demografia e Saúde (DHS) Macro International Inc. [Brazil] Pesquisa Nacional Sobre Demografia e Saúde 1996. Calverton, Maryland, USA: Macro International Inc.; 1997 (in Portuguese). | 2020-05-26T12:12:06.033+02:00 | 1991-1996 | 1991-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | ||||||||||
1263582 | 22384116 | WHS4_154 | COUNTRY | BRA | YEAR | 2000 | 79.3 | 79.3 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2000; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2000; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.08+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
1263581 | 22384115 | WHS4_154 | COUNTRY | BRA | YEAR | 2001 | 45.6 | 45.6 | Ministério da Saúde [Brasil]; 2004.Saúde Brasil 2004 - uma análise de situacao de saúde. Brasília DF: Ministério da Saúde, Secretaria de Vigilância em Saúde. Departamento de Análise deSituação de Saúde [Brasil]; 2004 (in Portuguese). | 2020-05-26T12:12:06.05+02:00 | 1997-2001 | 1997-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
1263583 | 22384117 | WHS4_154 | COUNTRY | BRA | YEAR | 2001 | 80.8 | 80.8 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2001; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2001; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.097+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
1263584 | 22384118 | WHS4_154 | COUNTRY | BRA | YEAR | 2002 | 83.1 | 83.1 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2002; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2002; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.13+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | ||||||||||
1263585 | 22384119 | WHS4_154 | COUNTRY | BRA | YEAR | 2003 | 84.7 | 84.7 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2003; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2003; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.143+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | ||||||||||
1263586 | 22384120 | WHS4_154 | COUNTRY | BRA | YEAR | 2004 | 86 | 86 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2004; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2004; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.16+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | ||||||||||
1263587 | 22384121 | WHS4_154 | COUNTRY | BRA | YEAR | 2005 | 86.7 | 86.7 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2005; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2005; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.177+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | ||||||||||
1263588 | 22384122 | WHS4_154 | COUNTRY | BRA | YEAR | 2006 | 80.9 | 80.9 | Ministério da Saúde, [Brazil]; 2009. Pesquisa Nacional de Demografia e Saúde da Criança e da Mulher (PNDS) 2006. Dimensões do Processo Reprodutivo e da Saúde da Criança. Brasília: Ministério da Saúde; 2009 (in Portuguese). | 2020-05-26T12:12:06.207+02:00 | 2001-2006 | 2001-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
1263589 | 22384123 | WHS4_154 | COUNTRY | BRA | YEAR | 2006 | 87.9 | 87.9 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2006; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2006; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.223+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
1263590 | 22384124 | WHS4_154 | COUNTRY | BRA | YEAR | 2007 | 88.7 | 88.7 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2007; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2007; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.24+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
1263591 | 22384125 | WHS4_154 | COUNTRY | BRA | YEAR | 2008 | 89.3 | 89.3 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2008; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2008; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 30 October 2014, in Portuguese). | 2020-05-26T12:12:06.253+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | ||||||||||
1263592 | 22384126 | WHS4_154 | COUNTRY | BRA | YEAR | 2009 | 89.4 | 89.4 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2009; 2011.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Consult pré-natal segundo Região. Período: 2009; 2011 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 16 November 2011, in Portuguese). | 2020-05-26T12:12:06.287+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
1263593 | 22384127 | WHS4_154 | COUNTRY | BRA | YEAR | 2010 | 90.2 | 90.2 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2010; 2012.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Região segundo Consult pré-natal. Período: 2010; 2012 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 25 October 2012, in Portuguese). | 2020-05-26T12:12:06.3+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
1263594 | 22384128 | WHS4_154 | COUNTRY | BRA | YEAR | 2011 | 89 | 89 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2011; 2013.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Consult pré-natal segundo Região. Período: 2011; 2013 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 11 October 2013, in Portuguese). | 2020-05-26T12:12:06.33+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
1263595 | 22384129 | WHS4_154 | COUNTRY | BRA | YEAR | 2012 | 88.7 | 88.7 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2012; 2014.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Consult pré-natal segundo Região. Período: 2012; 2014 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 4 December 2014, in Portuguese). | 2020-05-26T12:12:06.363+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
1263596 | 22384130 | WHS4_154 | COUNTRY | BRA | YEAR | 2013 | 88.9 | 88.9 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2013; 2016.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Consult pré-natal segundo Região. Período: 2013; 2016 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 21 January 2016, in Portuguese). | 2020-05-26T12:12:06.38+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
1263597 | 22384131 | WHS4_154 | COUNTRY | BRA | YEAR | 2014 | 90 | 90 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2014; 2016.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/resid.mãe por Consult pré-natal segundo Unidade da Federação. Período: 2014; 2016 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 20 September 2016, in Portuguese). | 2020-05-26T12:12:06.393+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
1263598 | 22384132 | WHS4_154 | COUNTRY | BRA | YEAR | 2015 | 90.9 | 90.9 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2015; 2017.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/ocorrênc por Consult pré-natal Segundo Região. Período: 2015; 2017 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 20 October 2017, in Portuguese). | 2020-05-26T12:12:06.427+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
1263599 | 22384133 | WHS4_154 | COUNTRY | BRA | YEAR | 2016 | 91.3 | 91.3 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2016; 2019.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/ocorrênc por Consult pré-natal Segundo Região. Período: 2016; 2019 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 18 February 2019, in Portuguese). | 2020-05-26T12:12:06.44+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
1263600 | 22384134 | WHS4_154 | COUNTRY | BRA | YEAR | 2017 | 91.7 | 91.7 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2017; 2020.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/ocorrênc por Consult pré-natal Segundo Região. Período: 2017; 2020 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 28 April 2020, in Portuguese). | 2020-05-26T12:12:06.473+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | ||||||||||
1263601 | 22384135 | WHS4_154 | COUNTRY | BRA | YEAR | 2018 | 92.2 | 92.2 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2018; 2020.DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/ocorrênc por Consult pré-natal Segundo Região. Período: 2018; 2020 (http://tabnet.datasus.gov.br/cgi/tabcgi.exe?sinasc/cnv/nvuf.def, accessed 28 April 2020, in Portuguese). | 2020-05-26T12:12:06.49+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 |
Роды в присутствии квалифицированного медицинского персонала, в процентах от всех родов. Бразилия
2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|
99.1 | 99.1 | 99.1 | 99.1 | 99.1 | 99 | 99 | 98.9 | 98.6 | 98.6 | 98.4 | 98.3 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1245394 | 22213310 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2000 | 99 | 98.6 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2000; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.11+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
1245393 | 22213309 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2001 | 98 | 98.3 | DATASUS, MS/SVS/DASIS [Brazil] Período: 2001; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.093+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
1245392 | 22213308 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2002 | 99 | 98.5 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2002; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.077+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | ||||||||||
1245391 | 22213307 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2003 | 98 | 98.4 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2003; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.06+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | ||||||||||
1245390 | 22213306 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2004 | 99 | 98.6 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2004; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.047+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | ||||||||||
1245389 | 22213305 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2005 | 99 | 98.6 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2005; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.03+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | ||||||||||
1245388 | 22213304 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2006 | 99 | 98.6 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2006; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:13.017+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
1245387 | 22213303 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2006 | 97 | 97 | Ministério da Saúde [Brazil]; 2009. | 2020-04-08T14:41:13+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
1245386 | 22213302 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2007 | 99 | 98.6 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2007; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.983+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
1245385 | 22213301 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2008 | 99 | 98.8 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2008; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.97+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | ||||||||||
1245384 | 22213300 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2009 | 99 | 98.9 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2009; 2011.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.953+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
1245383 | 22213299 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2010 | 99 | 98.9 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2010; 2012.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.937+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
1245382 | 22213298 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2011 | 99 | 99 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2011; 2013.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.92+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
1245381 | 22213297 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2012 | 99 | 99 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2012; 2014.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.907+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
1245380 | 22213296 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2013 | 99 | 99.1 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2013; 2016.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.89+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
1245379 | 22213295 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2014 | 99 | 99.1 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2014; 2017.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.873+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
1245378 | 22213294 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2015 | 99 | 99.1 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2015; 2017.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.843+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
1245377 | 22213293 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2016 | 99 | 99.1 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2016; 2018.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.827+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
1245376 | 22213292 | MDG_0000000025 | COUNTRY | BRA | YEAR | 2017 | 99 | 99.1 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2017; 2019.Includes institutional births that occurred at a health facility | 2020-04-08T14:41:12.797+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Роды путем кесарева сечения, в процентах от общей численности родов. Бразилия
2015 | 2010 |
---|---|
55.5 | 52.3 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1245001 | archive3677 | WHS4_115 | COUNTRY | BRA | YEAR | 2010 | 52.3 | 52.3 | From diBit's archive | 1 | ||||||||||||||
540163 | 18182489 | WHS4_115 | COUNTRY | BRA | YEAR | 2015 | 55.5 | 55.5 | DATASUS, MS/SVS/DASIS [Brazil]. Período: 2015; 2017. DATASUS [online database]. Brazil: MS/SVS/DASIS - Sistema de Informações sobre Nacidos Vivos – SINASC. Nascim p/ocorrênc por Tipo de parto Segundo Região. Período: 2015; 2017 (http://tabnet.datasus.gov.br/cgi/deftohtm.exe? sinasc/cnv/nvuf.def, accessed 2017, in Portuguese). | 2018-04-09T09:34:05.1+02:00 | 2015 | 2015-01-01T00:00:00+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. Бразилия
2006 |
---|
38.6 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
540378 | 20723826 | WHOSIS_000006 | COUNTRY | BRA | YEAR | 2006 | 38.6 | 38.6 | 2019-04-09T11:38:16.977+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 |
Число рожениц-подростков, на 1'000 женщин в возрасте 15-19 лет. Бразилия
2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|
52.7 | 58.6 | 61.7 | 63.4 | 63.1 | 63.0 | 63.1 | 64.6 | 68.5 | 73.9 | 73.7 | 78.4 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
541171 | 22237617 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2000 | 81.4 | 81.4 | Estimate National statistics | 2020-04-23T13:45:45.02+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
541172 | 22237618 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2001 | 78.4 | 78.4 | Estimate National statistics | 2020-04-23T13:45:45.037+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
541173 | 22237619 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2002 | 75.2 | 75.2 | Estimate National statistics | 2020-04-23T13:45:45.05+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | ||||||||||
541174 | 22237620 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2003 | 73.7 | 73.7 | Estimate National statistics | 2020-04-23T13:45:45.067+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | ||||||||||
541175 | 22237621 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2004 | 73.3 | 73.3 | Estimate National statistics | 2020-04-23T13:45:45.083+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | ||||||||||
541176 | 22237622 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2005 | 73.9 | 73.9 | Estimate National statistics | 2020-04-23T13:45:45.113+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | ||||||||||
541177 | 22237623 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2006 | 70.9 | 70.9 | Estimate National statistics | 2020-04-23T13:45:45.13+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
541178 | 22237624 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2007 | 68.5 | 68.5 | Estimate National statistics | 2020-04-23T13:45:45.143+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
541179 | 22237625 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2008 | 67.3 | 67.3 | Estimate National statistics | 2020-04-23T13:45:45.16+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | ||||||||||
541180 | 22237626 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2009 | 64.6 | 64.6 | Estimate National statistics | 2020-04-23T13:45:45.19+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
541181 | 22237627 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2010 | 62.2 | 62.2 | Estimate National statistics | 2020-04-23T13:45:45.207+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
541182 | 22237628 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2011 | 63.1 | 63.1 | Estimate National statistics | 2020-04-23T13:45:45.223+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
541183 | 22237629 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2012 | 63.0 | 63 | Estimate National statistics | 2020-04-23T13:45:45.24+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
541184 | 22237630 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2013 | 63.1 | 63.1 | Estimate National statistics | 2020-04-23T13:45:45.27+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
541185 | 22237631 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2014 | 63.4 | 63.4 | Estimate National statistics | 2020-04-23T13:45:45.287+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
541186 | 22237632 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2015 | 61.7 | 61.7 | Estimate National statistics | 2020-04-23T13:45:45.3+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
541187 | 22237633 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2016 | 58.6 | 58.6 | Vital Registration | 2020-04-23T13:45:45.333+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
541188 | 22237634 | MDG_0000000003 | COUNTRY | BRA | YEAR | 2017 | 52.7 | 52.7 | Registration UNSD & WPP2019 | 2020-04-23T13:45:45.347+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. Бразилия
2006 |
---|
80.3 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1244766 | 10726226 | MDG_0000000005 | COUNTRY | BRA | YEAR | 2006 | 80.3 | 80.3 | 2015-05-11T11:14:04.22+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 |
Бразилия: Смертность матерей и детей
Количество материнских смертей. Бразилия
2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|
1'700 | 1'800 | 1'900 | 1'800 | 1'800 | 1'800 | 1'800 | 2'100 | 2'200 | 2'300 | 2'300 | 2'300 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
543481 | 21456856 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2000 | 2 400 [ 2 400 - 2 500 ] | 2400 | 2400 | 2500 | 2019-09-24T09:30:20.38+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
543482 | 21456857 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2001 | 2 300 [ 2 300 - 2 400 ] | 2300 | 2300 | 2400 | 2019-09-24T09:30:20.413+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
543483 | 21456858 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2002 | 2 300 [ 2 200 - 2 400 ] | 2300 | 2200 | 2400 | 2019-09-24T09:30:20.43+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
543484 | 21456859 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2003 | 2 300 [ 2 200 - 2 400 ] | 2300 | 2200 | 2400 | 2019-09-24T09:30:20.443+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
543485 | 21456860 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2004 | 2 300 [ 2 200 - 2 400 ] | 2300 | 2200 | 2400 | 2019-09-24T09:30:20.46+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
543486 | 21456861 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2005 | 2 300 [ 2 200 - 2 300 ] | 2300 | 2200 | 2300 | 2019-09-24T09:30:20.49+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
543487 | 21456862 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2006 | 2 300 [ 2 200 - 2 300 ] | 2300 | 2200 | 2300 | 2019-09-24T09:30:20.507+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
543488 | 21456863 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2007 | 2 200 [ 2 100 - 2 300 ] | 2200 | 2100 | 2300 | 2019-09-24T09:30:20.523+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
543489 | 21456864 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2008 | 2 100 [ 2 100 - 2 200 ] | 2100 | 2100 | 2200 | 2019-09-24T09:30:20.54+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
543490 | 21456865 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2009 | 2 100 [ 2 000 - 2 100 ] | 2100 | 2000 | 2100 | 2019-09-24T09:30:20.553+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
543491 | 21456866 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2010 | 1 900 [ 1 900 - 2 000 ] | 1900 | 1900 | 2000 | 2019-09-24T09:30:20.57+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
543492 | 21456867 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2011 | 1 800 [ 1 800 - 1 900 ] | 1800 | 1800 | 1900 | 2019-09-24T09:30:20.587+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
543493 | 21456868 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2012 | 1 800 [ 1 700 - 1 800 ] | 1800 | 1700 | 1800 | 2019-09-24T09:30:20.617+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
543494 | 21456869 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2013 | 1 800 [ 1 800 - 1 800 ] | 1800 | 1800 | 1800 | 2019-09-24T09:30:20.63+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
543495 | 21456870 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2014 | 1 800 [ 1 800 - 1 900 ] | 1800 | 1800 | 1900 | 2019-09-24T09:30:20.647+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
543496 | 21456871 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2015 | 1 900 [ 1 800 - 1 900 ] | 1900 | 1800 | 1900 | 2019-09-24T09:30:20.663+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
543497 | 21456872 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2016 | 1 800 [ 1 800 - 1 900 ] | 1800 | 1800 | 1900 | 2019-09-24T09:30:20.68+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
543498 | 21456873 | MORT_MATERNALNUM | COUNTRY | BRA | YEAR | 2017 | 1 700 [ 1 700 - 1 800 ] | 1700 | 1700 | 1800 | 2019-09-24T09:30:20.71+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. Бразилия
2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|
60 | 62 | 63 | 62 | 61 | 60 | 61 | 69 | 71 | 71 | 70 | 68 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
548216 | 21461482 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2000 | 69 [ 67 - 71 ] | 69 | 67 | 71 | 2019-09-24T09:32:03.71+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
548222 | 21461488 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2001 | 68 [ 65 - 70 ] | 68 | 65 | 70 | 2019-09-24T09:32:03.837+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
548211 | 21461477 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2002 | 69 [ 66 - 72 ] | 69 | 66 | 72 | 2019-09-24T09:32:03.6+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
548207 | 21461473 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2003 | 70 [ 67 - 73 ] | 70 | 67 | 73 | 2019-09-24T09:32:03.507+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
548195 | 21461461 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2004 | 71 [ 69 - 74 ] | 71 | 69 | 74 | 2019-09-24T09:32:03.19+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
548205 | 21461471 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2005 | 71 [ 69 - 73 ] | 71 | 69 | 73 | 2019-09-24T09:32:03.443+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
548196 | 21461462 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2006 | 72 [ 69 - 74 ] | 72 | 69 | 74 | 2019-09-24T09:32:03.22+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
548197 | 21461463 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2007 | 71 [ 69 - 74 ] | 71 | 69 | 74 | 2019-09-24T09:32:03.253+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
548206 | 21461472 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2008 | 70 [ 68 - 73 ] | 70 | 68 | 73 | 2019-09-24T09:32:03.473+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
548221 | 21461487 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2009 | 69 [ 67 - 70 ] | 69 | 67 | 70 | 2019-09-24T09:32:03.82+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
548256 | 21461522 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2010 | 65 [ 63 - 66 ] | 65 | 63 | 66 | 2019-09-24T09:32:04.517+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
548290 | 21461556 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2011 | 61 [ 60 - 63 ] | 61 | 60 | 63 | 2019-09-24T09:32:05.223+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
548304 | 21461570 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2012 | 60 [ 58 - 61 ] | 60 | 58 | 61 | 2019-09-24T09:32:05.49+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
548296 | 21461562 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2013 | 61 [ 60 - 62 ] | 61 | 60 | 62 | 2019-09-24T09:32:05.333+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
548288 | 21461554 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2014 | 62 [ 61 - 63 ] | 62 | 61 | 63 | 2019-09-24T09:32:05.177+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
548279 | 21461545 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2015 | 63 [ 62 - 64 ] | 63 | 62 | 64 | 2019-09-24T09:32:05.003+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
548289 | 21461555 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2016 | 62 [ 61 - 63 ] | 62 | 61 | 63 | 2019-09-24T09:32:05.207+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
548305 | 21461571 | MDG_0000000026 | COUNTRY | BRA | YEAR | 2017 | 60 [ 58 - 61 ] | 60 | 58 | 61 | 2019-09-24T09:32:05.507+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Количество мертворожденных, на 1'000 родившихся. Бразилия
2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
7.5 | 7.6 | 7.8 | 8.2 | 8.2 | 8.3 | 8.3 | 8.4 | 8.5 | 8.7 | 8.9 | 9.4 | 9.7 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
550367 | 24435634 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2000 | 10 | 9.95702 | 8.82637 | 11.20108 | 2020-10-12T12:02:42.74+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
550368 | 24435635 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2001 | 9.7 | 9.72301 | 8.79637 | 10.75793 | 2020-10-12T12:02:42.77+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
550369 | 24435636 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2002 | 9.5 | 9.54798 | 8.70208 | 10.47823 | 2020-10-12T12:02:42.787+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
550370 | 24435637 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2003 | 9.4 | 9.37645 | 8.57801 | 10.24486 | 2020-10-12T12:02:42.817+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
550371 | 24435638 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2004 | 9.2 | 9.15166 | 8.39771 | 10.00567 | 2020-10-12T12:02:42.85+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
550372 | 24435639 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2005 | 8.9 | 8.93773 | 8.18136 | 9.73879 | 2020-10-12T12:02:42.863+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
550373 | 24435640 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2006 | 8.8 | 8.7878 | 8.02388 | 9.56735 | 2020-10-12T12:02:42.897+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
550374 | 24435641 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2007 | 8.7 | 8.66998 | 7.93288 | 9.47539 | 2020-10-12T12:02:42.927+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
550375 | 24435642 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2008 | 8.6 | 8.58518 | 7.84092 | 9.38522 | 2020-10-12T12:02:42.943+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
550376 | 24435643 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2009 | 8.5 | 8.54016 | 7.8144 | 9.35168 | 2020-10-12T12:02:42.973+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
550377 | 24435644 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2010 | 8.5 | 8.46821 | 7.75131 | 9.27294 | 2020-10-12T12:02:43.003+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
550378 | 24435645 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2011 | 8.4 | 8.42015 | 7.70555 | 9.19996 | 2020-10-12T12:02:43.02+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
550379 | 24435646 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2012 | 8.4 | 8.38228 | 7.65061 | 9.18153 | 2020-10-12T12:02:43.037+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
550380 | 24435647 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2013 | 8.3 | 8.32989 | 7.61923 | 9.10955 | 2020-10-12T12:02:43.067+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
550381 | 24435648 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2014 | 8.3 | 8.28527 | 7.57248 | 9.09421 | 2020-10-12T12:02:43.1+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
550382 | 24435649 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2015 | 8.2 | 8.17096 | 7.41733 | 9.06217 | 2020-10-12T12:02:43.113+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
550383 | 24435650 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2016 | 8.2 | 8.22515 | 7.34311 | 9.32197 | 2020-10-12T12:02:43.147+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
550384 | 24435651 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2017 | 7.8 | 7.79149 | 6.73129 | 9.07485 | 2020-10-12T12:02:43.177+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||||
550385 | 24435652 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2018 | 7.6 | 7.6142 | 6.40521 | 9.08308 | 2020-10-12T12:02:43.193+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||||
550386 | 24435653 | WHOSIS_000014 | COUNTRY | BRA | YEAR | 2019 | 7.5 | 7.47693 | 6.13105 | 9.19243 | 2020-10-12T12:02:43.223+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. Бразилия
2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Мужчины | 23'062 | 23'950 | 24'823 | 27'374 | 26'553 | 27'423 | 28'359 | 30'652 | 34'019 | 38'990 | 45'792 | 54'345 | 64'230 | 74'756 | 85'778 | 97'674 | 110'470 | 123'815 |
Женщины | 17'367 | 18'009 | 18'680 | 20'912 | 19'947 | 20'597 | 21'275 | 22'989 | 25'511 | 29'249 | 34'375 | 40'942 | 48'561 | 56'849 | 65'646 | 75'319 | 86'029 | 96'868 |
Оба пола | 40'429 | 41'959 | 43'503 | 48'286 | 46'500 | 48'020 | 49'634 | 53'641 | 59'530 | 68'239 | 80'167 | 95'287 | 112'791 | 131'605 | 151'424 | 172'993 | 196'499 | 220'683 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
557833 | 24190892 | CM_01 | COUNTRY | BRA | YEAR | 1991 | SEX | BTSX | 220683 | 220683 | 205939 | 236384 | 2020-09-22T13:23:20.853+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
557834 | 24190893 | CM_01 | COUNTRY | BRA | YEAR | 1992 | SEX | BTSX | 208657 | 208657 | 194831 | 223375 | 2020-09-22T13:23:20.87+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
557835 | 24190894 | CM_01 | COUNTRY | BRA | YEAR | 1993 | SEX | BTSX | 196499 | 196499 | 183618 | 210556 | 2020-09-22T13:23:20.9+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
557836 | 24190895 | CM_01 | COUNTRY | BRA | YEAR | 1994 | SEX | BTSX | 184546 | 184546 | 172571 | 197813 | 2020-09-22T13:23:20.917+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
557837 | 24190896 | CM_01 | COUNTRY | BRA | YEAR | 1995 | SEX | BTSX | 172993 | 172993 | 161896 | 185264 | 2020-09-22T13:23:20.93+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
557838 | 24190897 | CM_01 | COUNTRY | BRA | YEAR | 1996 | SEX | BTSX | 161903 | 161903 | 151527 | 173612 | 2020-09-22T13:23:20.96+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
557839 | 24190898 | CM_01 | COUNTRY | BRA | YEAR | 1997 | SEX | BTSX | 151424 | 151424 | 141798 | 162112 | 2020-09-22T13:23:20.977+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
557840 | 24190899 | CM_01 | COUNTRY | BRA | YEAR | 1998 | SEX | BTSX | 141340 | 141340 | 132447 | 151340 | 2020-09-22T13:23:20.993+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
557841 | 24190900 | CM_01 | COUNTRY | BRA | YEAR | 1999 | SEX | BTSX | 131605 | 131605 | 123178 | 140944 | 2020-09-22T13:23:21.023+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
557842 | 24190901 | CM_01 | COUNTRY | BRA | YEAR | 2000 | SEX | BTSX | 122065 | 122065 | 114257 | 130622 | 2020-09-22T13:23:21.04+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
557843 | 24190902 | CM_01 | COUNTRY | BRA | YEAR | 2001 | SEX | BTSX | 112791 | 112791 | 105650 | 120853 | 2020-09-22T13:23:21.057+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
557844 | 24190903 | CM_01 | COUNTRY | BRA | YEAR | 2002 | SEX | BTSX | 103800 | 103800 | 97278 | 111316 | 2020-09-22T13:23:21.087+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
557845 | 24190904 | CM_01 | COUNTRY | BRA | YEAR | 2003 | SEX | BTSX | 95287 | 95287 | 89328 | 102120 | 2020-09-22T13:23:21.103+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
557846 | 24190905 | CM_01 | COUNTRY | BRA | YEAR | 2004 | SEX | BTSX | 87381 | 87381 | 81972 | 93473 | 2020-09-22T13:23:21.133+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
557847 | 24190906 | CM_01 | COUNTRY | BRA | YEAR | 2005 | SEX | BTSX | 80167 | 80167 | 75327 | 85430 | 2020-09-22T13:23:21.15+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
557848 | 24190907 | CM_01 | COUNTRY | BRA | YEAR | 2006 | SEX | BTSX | 73762 | 73762 | 69498 | 78307 | 2020-09-22T13:23:21.18+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
557849 | 24190908 | CM_01 | COUNTRY | BRA | YEAR | 2007 | SEX | BTSX | 68239 | 68239 | 64658 | 71885 | 2020-09-22T13:23:21.197+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
557850 | 24190909 | CM_01 | COUNTRY | BRA | YEAR | 2008 | SEX | BTSX | 63480 | 63480 | 60689 | 66395 | 2020-09-22T13:23:21.227+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
557851 | 24190910 | CM_01 | COUNTRY | BRA | YEAR | 2009 | SEX | BTSX | 59530 | 59530 | 57435 | 61728 | 2020-09-22T13:23:21.243+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
557852 | 24190911 | CM_01 | COUNTRY | BRA | YEAR | 2010 | SEX | BTSX | 56301 | 56301 | 54738 | 57883 | 2020-09-22T13:23:21.273+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
557853 | 24190912 | CM_01 | COUNTRY | BRA | YEAR | 2011 | SEX | BTSX | 53641 | 53641 | 52430 | 54867 | 2020-09-22T13:23:21.307+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
557854 | 24190913 | CM_01 | COUNTRY | BRA | YEAR | 2012 | SEX | BTSX | 51455 | 51455 | 50439 | 52515 | 2020-09-22T13:23:21.337+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
557855 | 24190914 | CM_01 | COUNTRY | BRA | YEAR | 2013 | SEX | BTSX | 49634 | 49634 | 48553 | 50740 | 2020-09-22T13:23:21.353+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
557856 | 24190915 | CM_01 | COUNTRY | BRA | YEAR | 2014 | SEX | BTSX | 48020 | 48020 | 46540 | 49520 | 2020-09-22T13:23:21.383+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
557857 | 24190916 | CM_01 | COUNTRY | BRA | YEAR | 2015 | SEX | BTSX | 46500 | 46500 | 44271 | 48821 | 2020-09-22T13:23:21.417+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
557858 | 24190917 | CM_01 | COUNTRY | BRA | YEAR | 2016 | SEX | BTSX | 48286 | 48286 | 44826 | 51884 | 2020-09-22T13:23:21.43+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
557859 | 24190918 | CM_01 | COUNTRY | BRA | YEAR | 2017 | SEX | BTSX | 43503 | 43503 | 39268 | 48078 | 2020-09-22T13:23:21.463+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
557860 | 24190919 | CM_01 | COUNTRY | BRA | YEAR | 2018 | SEX | BTSX | 41959 | 41959 | 36575 | 48038 | 2020-09-22T13:23:21.48+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
557861 | 24190920 | CM_01 | COUNTRY | BRA | YEAR | 2019 | SEX | BTSX | 40429 | 40429 | 33847 | 47989 | 2020-09-22T13:23:21.54+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
557893 | 24190952 | CM_01 | COUNTRY | BRA | YEAR | 1991 | SEX | FMLE | 96868 | 96868 | 89821 | 104650 | 2020-09-22T13:23:22.57+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
557894 | 24190953 | CM_01 | COUNTRY | BRA | YEAR | 1992 | SEX | FMLE | 91425 | 91425 | 84746 | 98536 | 2020-09-22T13:23:22.587+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
557895 | 24190954 | CM_01 | COUNTRY | BRA | YEAR | 1993 | SEX | FMLE | 86029 | 86029 | 79756 | 92724 | 2020-09-22T13:23:22.603+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
557896 | 24190955 | CM_01 | COUNTRY | BRA | YEAR | 1994 | SEX | FMLE | 80562 | 80562 | 74722 | 86886 | 2020-09-22T13:23:22.633+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
557897 | 24190956 | CM_01 | COUNTRY | BRA | YEAR | 1995 | SEX | FMLE | 75319 | 75319 | 69852 | 81150 | 2020-09-22T13:23:22.65+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
557898 | 24190957 | CM_01 | COUNTRY | BRA | YEAR | 1996 | SEX | FMLE | 70368 | 70368 | 65275 | 75938 | 2020-09-22T13:23:22.68+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
557899 | 24190958 | CM_01 | COUNTRY | BRA | YEAR | 1997 | SEX | FMLE | 65646 | 65646 | 60857 | 70743 | 2020-09-22T13:23:22.697+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
557900 | 24190959 | CM_01 | COUNTRY | BRA | YEAR | 1998 | SEX | FMLE | 61115 | 61115 | 56654 | 65821 | 2020-09-22T13:23:22.727+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
557901 | 24190960 | CM_01 | COUNTRY | BRA | YEAR | 1999 | SEX | FMLE | 56849 | 56849 | 52696 | 61327 | 2020-09-22T13:23:22.76+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
557902 | 24190961 | CM_01 | COUNTRY | BRA | YEAR | 2000 | SEX | FMLE | 52618 | 52618 | 48740 | 56808 | 2020-09-22T13:23:22.773+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
557903 | 24190962 | CM_01 | COUNTRY | BRA | YEAR | 2001 | SEX | FMLE | 48561 | 48561 | 45033 | 52427 | 2020-09-22T13:23:22.79+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
557904 | 24190963 | CM_01 | COUNTRY | BRA | YEAR | 2002 | SEX | FMLE | 44648 | 44648 | 41412 | 48292 | 2020-09-22T13:23:22.82+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
557905 | 24190964 | CM_01 | COUNTRY | BRA | YEAR | 2003 | SEX | FMLE | 40942 | 40942 | 37969 | 44272 | 2020-09-22T13:23:22.837+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
557906 | 24190965 | CM_01 | COUNTRY | BRA | YEAR | 2004 | SEX | FMLE | 37507 | 37507 | 34762 | 40551 | 2020-09-22T13:23:22.853+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
557907 | 24190966 | CM_01 | COUNTRY | BRA | YEAR | 2005 | SEX | FMLE | 34375 | 34375 | 31937 | 37053 | 2020-09-22T13:23:22.883+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
557908 | 24190967 | CM_01 | COUNTRY | BRA | YEAR | 2006 | SEX | FMLE | 31631 | 31631 | 29410 | 33939 | 2020-09-22T13:23:22.9+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
557909 | 24190968 | CM_01 | COUNTRY | BRA | YEAR | 2007 | SEX | FMLE | 29249 | 29249 | 27315 | 31207 | 2020-09-22T13:23:22.93+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
557910 | 24190969 | CM_01 | COUNTRY | BRA | YEAR | 2008 | SEX | FMLE | 27202 | 27202 | 25618 | 28871 | 2020-09-22T13:23:22.96+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
557911 | 24190970 | CM_01 | COUNTRY | BRA | YEAR | 2009 | SEX | FMLE | 25511 | 25511 | 24158 | 26911 | 2020-09-22T13:23:22.977+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
557912 | 24190971 | CM_01 | COUNTRY | BRA | YEAR | 2010 | SEX | FMLE | 24126 | 24126 | 22946 | 25312 | 2020-09-22T13:23:23.01+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
557913 | 24190972 | CM_01 | COUNTRY | BRA | YEAR | 2011 | SEX | FMLE | 22989 | 22989 | 21910 | 24054 | 2020-09-22T13:23:23.023+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
557914 | 24190973 | CM_01 | COUNTRY | BRA | YEAR | 2012 | SEX | FMLE | 22065 | 22065 | 21054 | 23083 | 2020-09-22T13:23:23.057+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
557915 | 24190974 | CM_01 | COUNTRY | BRA | YEAR | 2013 | SEX | FMLE | 21275 | 21275 | 20284 | 22284 | 2020-09-22T13:23:23.087+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
557916 | 24190975 | CM_01 | COUNTRY | BRA | YEAR | 2014 | SEX | FMLE | 20597 | 20597 | 19528 | 21665 | 2020-09-22T13:23:23.103+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
557917 | 24190976 | CM_01 | COUNTRY | BRA | YEAR | 2015 | SEX | FMLE | 19947 | 19947 | 18671 | 21256 | 2020-09-22T13:23:23.12+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
557918 | 24190977 | CM_01 | COUNTRY | BRA | YEAR | 2016 | SEX | FMLE | 20912 | 20912 | 19187 | 22705 | 2020-09-22T13:23:23.15+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
557919 | 24190978 | CM_01 | COUNTRY | BRA | YEAR | 2017 | SEX | FMLE | 18680 | 18680 | 16704 | 20853 | 2020-09-22T13:23:23.167+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
557920 | 24190979 | CM_01 | COUNTRY | BRA | YEAR | 2018 | SEX | FMLE | 18009 | 18009 | 15557 | 20774 | 2020-09-22T13:23:23.197+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
557921 | 24190980 | CM_01 | COUNTRY | BRA | YEAR | 2019 | SEX | FMLE | 17367 | 17367 | 14453 | 20725 | 2020-09-22T13:23:23.213+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
557953 | 24191012 | CM_01 | COUNTRY | BRA | YEAR | 1991 | SEX | MLE | 123815 | 123815 | 115180 | 133125 | 2020-09-22T13:23:24.087+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
557954 | 24191013 | CM_01 | COUNTRY | BRA | YEAR | 1992 | SEX | MLE | 117232 | 117232 | 108983 | 126033 | 2020-09-22T13:23:24.12+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
557955 | 24191014 | CM_01 | COUNTRY | BRA | YEAR | 1993 | SEX | MLE | 110470 | 110470 | 102737 | 118943 | 2020-09-22T13:23:24.133+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
557956 | 24191015 | CM_01 | COUNTRY | BRA | YEAR | 1994 | SEX | MLE | 103984 | 103984 | 96702 | 112080 | 2020-09-22T13:23:24.18+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
557957 | 24191016 | CM_01 | COUNTRY | BRA | YEAR | 1995 | SEX | MLE | 97674 | 97674 | 90881 | 105188 | 2020-09-22T13:23:24.197+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
557958 | 24191017 | CM_01 | COUNTRY | BRA | YEAR | 1996 | SEX | MLE | 91535 | 91535 | 85136 | 98650 | 2020-09-22T13:23:24.227+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
557959 | 24191018 | CM_01 | COUNTRY | BRA | YEAR | 1997 | SEX | MLE | 85778 | 85778 | 79840 | 92367 | 2020-09-22T13:23:24.243+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
557960 | 24191019 | CM_01 | COUNTRY | BRA | YEAR | 1998 | SEX | MLE | 80225 | 80225 | 74706 | 86359 | 2020-09-22T13:23:24.273+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
557961 | 24191020 | CM_01 | COUNTRY | BRA | YEAR | 1999 | SEX | MLE | 74756 | 74756 | 69601 | 80469 | 2020-09-22T13:23:24.29+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
557962 | 24191021 | CM_01 | COUNTRY | BRA | YEAR | 2000 | SEX | MLE | 69447 | 69447 | 64651 | 74752 | 2020-09-22T13:23:24.32+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
557963 | 24191022 | CM_01 | COUNTRY | BRA | YEAR | 2001 | SEX | MLE | 64230 | 64230 | 59826 | 69211 | 2020-09-22T13:23:24.337+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
557964 | 24191023 | CM_01 | COUNTRY | BRA | YEAR | 2002 | SEX | MLE | 59152 | 59152 | 55127 | 63713 | 2020-09-22T13:23:24.37+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
557965 | 24191024 | CM_01 | COUNTRY | BRA | YEAR | 2003 | SEX | MLE | 54345 | 54345 | 50610 | 58547 | 2020-09-22T13:23:24.417+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
557966 | 24191025 | CM_01 | COUNTRY | BRA | YEAR | 2004 | SEX | MLE | 49874 | 49874 | 46468 | 53682 | 2020-09-22T13:23:24.43+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
557967 | 24191026 | CM_01 | COUNTRY | BRA | YEAR | 2005 | SEX | MLE | 45792 | 45792 | 42758 | 49122 | 2020-09-22T13:23:24.447+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
557968 | 24191027 | CM_01 | COUNTRY | BRA | YEAR | 2006 | SEX | MLE | 42131 | 42131 | 39457 | 45026 | 2020-09-22T13:23:24.477+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
557969 | 24191028 | CM_01 | COUNTRY | BRA | YEAR | 2007 | SEX | MLE | 38990 | 38990 | 36702 | 41434 | 2020-09-22T13:23:24.493+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
557970 | 24191029 | CM_01 | COUNTRY | BRA | YEAR | 2008 | SEX | MLE | 36278 | 36278 | 34371 | 38300 | 2020-09-22T13:23:24.51+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
557971 | 24191030 | CM_01 | COUNTRY | BRA | YEAR | 2009 | SEX | MLE | 34019 | 34019 | 32448 | 35676 | 2020-09-22T13:23:24.54+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
557972 | 24191031 | CM_01 | COUNTRY | BRA | YEAR | 2010 | SEX | MLE | 32175 | 32175 | 30861 | 33524 | 2020-09-22T13:23:24.587+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
557973 | 24191032 | CM_01 | COUNTRY | BRA | YEAR | 2011 | SEX | MLE | 30652 | 30652 | 29504 | 31840 | 2020-09-22T13:23:24.62+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
557974 | 24191033 | CM_01 | COUNTRY | BRA | YEAR | 2012 | SEX | MLE | 29390 | 29390 | 28326 | 30491 | 2020-09-22T13:23:24.633+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
557975 | 24191034 | CM_01 | COUNTRY | BRA | YEAR | 2013 | SEX | MLE | 28359 | 28359 | 27309 | 29430 | 2020-09-22T13:23:24.667+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
557976 | 24191035 | CM_01 | COUNTRY | BRA | YEAR | 2014 | SEX | MLE | 27423 | 27423 | 26233 | 28620 | 2020-09-22T13:23:24.68+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
557977 | 24191036 | CM_01 | COUNTRY | BRA | YEAR | 2015 | SEX | MLE | 26553 | 26553 | 25057 | 28127 | 2020-09-22T13:23:24.697+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
557978 | 24191037 | CM_01 | COUNTRY | BRA | YEAR | 2016 | SEX | MLE | 27374 | 27374 | 25262 | 29586 | 2020-09-22T13:23:24.727+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
557979 | 24191038 | CM_01 | COUNTRY | BRA | YEAR | 2017 | SEX | MLE | 24823 | 24823 | 22296 | 27612 | 2020-09-22T13:23:24.743+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
557980 | 24191039 | CM_01 | COUNTRY | BRA | YEAR | 2018 | SEX | MLE | 23950 | 23950 | 20797 | 27519 | 2020-09-22T13:23:24.773+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
557981 | 24191040 | CM_01 | COUNTRY | BRA | YEAR | 2019 | SEX | MLE | 23062 | 23062 | 19215 | 27427 | 2020-09-22T13:23:24.79+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. Бразилия
2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Мужчины | 15.5 | 16 | 16.5 | 18.1 | 17.5 | 18.1 | 18.6 | 20 | 21.8 | 24.3 | 27.6 | 31.5 | 36 | 41 | 46.5 | 52.7 | 59.4 | 65.9 |
Женщины | 12.3 | 12.6 | 13 | 14.5 | 13.8 | 14.2 | 14.7 | 15.7 | 17.2 | 19.1 | 21.7 | 24.9 | 28.6 | 32.7 | 37.3 | 42.6 | 48.4 | 54 |
Оба пола | 13.9 | 14.4 | 14.8 | 16.4 | 15.7 | 16.2 | 16.7 | 17.9 | 19.6 | 21.8 | 24.7 | 28.3 | 32.4 | 37 | 42 | 47.8 | 54 | 60.1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
589619 | 24298311 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1991 | SEX | BTSX | 60.1 | 60.06895 | 56.04418 | 64.35032 | 2020-09-22T14:21:56.943+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
589620 | 24298312 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1992 | SEX | BTSX | 57.1 | 57.13192 | 53.32756 | 61.17844 | 2020-09-22T14:21:57.007+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
589621 | 24298313 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1993 | SEX | BTSX | 54 | 54.02882 | 50.47142 | 57.92805 | 2020-09-22T14:21:57.037+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
589622 | 24298314 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1994 | SEX | BTSX | 50.9 | 50.88421 | 47.57102 | 54.55732 | 2020-09-22T14:21:57.07+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
589623 | 24298315 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1995 | SEX | BTSX | 47.8 | 47.79127 | 44.71272 | 51.19821 | 2020-09-22T14:21:57.083+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
589624 | 24298316 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1996 | SEX | BTSX | 44.8 | 44.81465 | 41.92477 | 48.06789 | 2020-09-22T14:21:57.13+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
589625 | 24298317 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1997 | SEX | BTSX | 42 | 42.03586 | 39.34854 | 45.01694 | 2020-09-22T14:21:57.147+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
589626 | 24298318 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1998 | SEX | BTSX | 39.4 | 39.42162 | 36.93106 | 42.22276 | 2020-09-22T14:21:57.18+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
589627 | 24298319 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1999 | SEX | BTSX | 37 | 36.96651 | 34.59242 | 39.60207 | 2020-09-22T14:21:57.21+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
589628 | 24298320 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2000 | SEX | BTSX | 34.6 | 34.62556 | 32.40174 | 37.06047 | 2020-09-22T14:21:57.24+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
589629 | 24298321 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2001 | SEX | BTSX | 32.4 | 32.40739 | 30.3458 | 34.72724 | 2020-09-22T14:21:57.27+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
589630 | 24298322 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2002 | SEX | BTSX | 30.3 | 30.29141 | 28.38316 | 32.48842 | 2020-09-22T14:21:57.303+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
589631 | 24298323 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2003 | SEX | BTSX | 28.3 | 28.29897 | 26.52444 | 30.33483 | 2020-09-22T14:21:57.333+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
589632 | 24298324 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2004 | SEX | BTSX | 26.4 | 26.44338 | 24.80365 | 28.29457 | 2020-09-22T14:21:57.367+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
589633 | 24298325 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2005 | SEX | BTSX | 24.7 | 24.72897 | 23.23148 | 26.35847 | 2020-09-22T14:21:57.38+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
589634 | 24298326 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2006 | SEX | BTSX | 23.2 | 23.17834 | 21.83554 | 24.61111 | 2020-09-22T14:21:57.413+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
589635 | 24298327 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2007 | SEX | BTSX | 21.8 | 21.8118 | 20.66365 | 22.9796 | 2020-09-22T14:21:57.443+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
589636 | 24298328 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2008 | SEX | BTSX | 20.6 | 20.59798 | 19.68952 | 21.54789 | 2020-09-22T14:21:57.507+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
589637 | 24298329 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2009 | SEX | BTSX | 19.6 | 19.56033 | 18.86924 | 20.28599 | 2020-09-22T14:21:57.583+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
589638 | 24298330 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2010 | SEX | BTSX | 18.7 | 18.681 | 18.16079 | 19.20781 | 2020-09-22T14:21:57.617+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
589639 | 24298331 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2011 | SEX | BTSX | 17.9 | 17.92263 | 17.51705 | 18.33405 | 2020-09-22T14:21:57.647+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
589640 | 24298332 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2012 | SEX | BTSX | 17.3 | 17.27037 | 16.92849 | 17.62722 | 2020-09-22T14:21:57.68+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
589641 | 24298333 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2013 | SEX | BTSX | 16.7 | 16.70785 | 16.34417 | 17.08017 | 2020-09-22T14:21:57.71+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
589642 | 24298334 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2014 | SEX | BTSX | 16.2 | 16.19868 | 15.69882 | 16.70449 | 2020-09-22T14:21:57.74+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
589643 | 24298335 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2015 | SEX | BTSX | 15.7 | 15.71723 | 14.96442 | 16.50217 | 2020-09-22T14:21:57.757+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
589644 | 24298336 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2016 | SEX | BTSX | 16.4 | 16.36378 | 15.19062 | 17.58287 | 2020-09-22T14:21:57.787+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
589645 | 24298337 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2017 | SEX | BTSX | 14.8 | 14.80567 | 13.36385 | 16.36342 | 2020-09-22T14:21:57.82+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
589646 | 24298338 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2018 | SEX | BTSX | 14.4 | 14.35743 | 12.51421 | 16.43775 | 2020-09-22T14:21:57.85+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
589647 | 24298339 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2019 | SEX | BTSX | 13.9 | 13.93542 | 11.66488 | 16.54175 | 2020-09-22T14:21:57.867+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
589684 | 24298376 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1991 | SEX | FMLE | 54 | 53.98985 | 50.04314 | 58.3561 | 2020-09-22T14:21:59.21+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
589685 | 24298377 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1992 | SEX | FMLE | 51.3 | 51.25268 | 47.50355 | 55.27699 | 2020-09-22T14:21:59.223+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
589686 | 24298378 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1993 | SEX | FMLE | 48.4 | 48.44407 | 44.89426 | 52.23783 | 2020-09-22T14:21:59.257+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
589687 | 24298379 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1994 | SEX | FMLE | 45.5 | 45.49304 | 42.18563 | 49.0867 | 2020-09-22T14:21:59.287+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
589688 | 24298380 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1995 | SEX | FMLE | 42.6 | 42.62009 | 39.5137 | 45.93447 | 2020-09-22T14:21:59.32+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
589689 | 24298381 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1996 | SEX | FMLE | 39.9 | 39.88226 | 37.0016 | 43.0776 | 2020-09-22T14:21:59.35+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
589690 | 24298382 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1997 | SEX | FMLE | 37.3 | 37.3091 | 34.59962 | 40.2393 | 2020-09-22T14:21:59.38+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
589691 | 24298383 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1998 | SEX | FMLE | 34.9 | 34.91109 | 32.35559 | 37.62304 | 2020-09-22T14:21:59.43+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
589692 | 24298384 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1999 | SEX | FMLE | 32.7 | 32.70168 | 30.31519 | 35.29498 | 2020-09-22T14:21:59.46+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
589693 | 24298385 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2000 | SEX | FMLE | 30.6 | 30.58483 | 28.31643 | 33.0198 | 2020-09-22T14:21:59.477+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
589694 | 24298386 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2001 | SEX | FMLE | 28.6 | 28.58101 | 26.49518 | 30.86816 | 2020-09-22T14:21:59.52+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
589695 | 24298387 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2002 | SEX | FMLE | 26.7 | 26.69122 | 24.74856 | 28.87891 | 2020-09-22T14:21:59.553+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
589696 | 24298388 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2003 | SEX | FMLE | 24.9 | 24.91013 | 23.09401 | 26.9379 | 2020-09-22T14:21:59.583+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
589697 | 24298389 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2004 | SEX | FMLE | 23.3 | 23.25162 | 21.54289 | 25.15249 | 2020-09-22T14:21:59.6+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
589698 | 24298390 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2005 | SEX | FMLE | 21.7 | 21.72076 | 20.17782 | 23.42125 | 2020-09-22T14:21:59.63+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
589699 | 24298391 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2006 | SEX | FMLE | 20.4 | 20.36321 | 18.92753 | 21.8539 | 2020-09-22T14:21:59.663+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
589700 | 24298392 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2007 | SEX | FMLE | 19.1 | 19.14638 | 17.88371 | 20.44264 | 2020-09-22T14:21:59.693+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
589701 | 24298393 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2008 | SEX | FMLE | 18.1 | 18.08993 | 17.02676 | 19.19584 | 2020-09-22T14:21:59.727+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
589702 | 24298394 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2009 | SEX | FMLE | 17.2 | 17.17776 | 16.26111 | 18.12253 | 2020-09-22T14:21:59.757+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
589703 | 24298395 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2010 | SEX | FMLE | 16.4 | 16.39558 | 15.59781 | 17.21306 | 2020-09-22T14:21:59.77+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
589704 | 24298396 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2011 | SEX | FMLE | 15.7 | 15.73409 | 15.00135 | 16.47268 | 2020-09-22T14:21:59.803+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
589705 | 24298397 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2012 | SEX | FMLE | 15.2 | 15.17689 | 14.47883 | 15.87847 | 2020-09-22T14:21:59.833+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
589706 | 24298398 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2013 | SEX | FMLE | 14.7 | 14.67543 | 13.99127 | 15.37557 | 2020-09-22T14:21:59.867+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
589707 | 24298399 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2014 | SEX | FMLE | 14.2 | 14.23404 | 13.49864 | 14.97931 | 2020-09-22T14:21:59.897+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
589708 | 24298400 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2015 | SEX | FMLE | 13.8 | 13.81244 | 12.93233 | 14.72447 | 2020-09-22T14:21:59.913+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
589709 | 24298401 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2016 | SEX | FMLE | 14.5 | 14.51037 | 13.32541 | 15.7707 | 2020-09-22T14:21:59.943+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
589710 | 24298402 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2017 | SEX | FMLE | 13 | 13.02171 | 11.65056 | 14.54552 | 2020-09-22T14:21:59.99+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
589711 | 24298403 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2018 | SEX | FMLE | 12.6 | 12.62972 | 10.90859 | 14.56906 | 2020-09-22T14:22:00.02+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
589712 | 24298404 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2019 | SEX | FMLE | 12.3 | 12.25644 | 10.20685 | 14.64459 | 2020-09-22T14:22:00.053+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
589749 | 24298441 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1991 | SEX | MLE | 65.9 | 65.85879 | 61.25435 | 70.84617 | 2020-09-22T14:22:01.1+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
589750 | 24298442 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1992 | SEX | MLE | 62.7 | 62.7121 | 58.29448 | 67.45476 | 2020-09-22T14:22:01.13+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
589751 | 24298443 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1993 | SEX | MLE | 59.4 | 59.35427 | 55.17773 | 63.92972 | 2020-09-22T14:22:01.163+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
589752 | 24298444 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1994 | SEX | MLE | 56 | 56.01829 | 52.07712 | 60.41158 | 2020-09-22T14:22:01.193+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
589753 | 24298445 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1995 | SEX | MLE | 52.7 | 52.72143 | 49.0394 | 56.80462 | 2020-09-22T14:22:01.24+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
589754 | 24298446 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1996 | SEX | MLE | 49.5 | 49.48332 | 46.02167 | 53.38061 | 2020-09-22T14:22:01.257+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
589755 | 24298447 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1997 | SEX | MLE | 46.5 | 46.49635 | 43.28299 | 50.1265 | 2020-09-22T14:22:01.287+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
589756 | 24298448 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1998 | SEX | MLE | 43.7 | 43.70599 | 40.69389 | 47.07853 | 2020-09-22T14:22:01.32+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
589757 | 24298449 | MDG_0000000007 | COUNTRY | BRA | YEAR | 1999 | SEX | MLE | 41 | 41.01037 | 38.17946 | 44.17408 | 2020-09-22T14:22:01.35+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
589758 | 24298450 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2000 | SEX | MLE | 38.5 | 38.49572 | 35.81718 | 41.44012 | 2020-09-22T14:22:01.38+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
589759 | 24298451 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2001 | SEX | MLE | 36 | 36.04947 | 33.57181 | 38.86364 | 2020-09-22T14:22:01.413+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
589760 | 24298452 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2002 | SEX | MLE | 33.7 | 33.72092 | 31.41306 | 36.33173 | 2020-09-22T14:22:01.477+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
589761 | 24298453 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2003 | SEX | MLE | 31.5 | 31.53084 | 29.35831 | 33.97435 | 2020-09-22T14:22:01.507+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
589762 | 24298454 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2004 | SEX | MLE | 29.5 | 29.4812 | 27.46089 | 31.74335 | 2020-09-22T14:22:01.537+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
589763 | 24298455 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2005 | SEX | MLE | 27.6 | 27.58887 | 25.75619 | 29.60515 | 2020-09-22T14:22:01.57+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
589764 | 24298456 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2006 | SEX | MLE | 25.9 | 25.85967 | 24.21088 | 27.64748 | 2020-09-22T14:22:01.6+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
589765 | 24298457 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2007 | SEX | MLE | 24.3 | 24.33314 | 22.90887 | 25.87746 | 2020-09-22T14:22:01.63+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
589766 | 24298458 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2008 | SEX | MLE | 23 | 22.99908 | 21.77753 | 24.27958 | 2020-09-22T14:22:01.663+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
589767 | 24298459 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2009 | SEX | MLE | 21.8 | 21.83594 | 20.81984 | 22.90056 | 2020-09-22T14:22:01.693+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
589768 | 24298460 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2010 | SEX | MLE | 20.8 | 20.84148 | 19.99523 | 21.72924 | 2020-09-22T14:22:01.727+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
589769 | 24298461 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2011 | SEX | MLE | 20 | 19.99416 | 19.2514 | 20.78163 | 2020-09-22T14:22:01.757+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
589770 | 24298462 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2012 | SEX | MLE | 19.3 | 19.26645 | 18.56584 | 19.98919 | 2020-09-22T14:22:01.787+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
589771 | 24298463 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2013 | SEX | MLE | 18.6 | 18.64191 | 17.95144 | 19.35006 | 2020-09-22T14:22:01.82+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
589772 | 24298464 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2014 | SEX | MLE | 18.1 | 18.05942 | 17.28048 | 18.85603 | 2020-09-22T14:22:01.833+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
589773 | 24298465 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2015 | SEX | MLE | 17.5 | 17.52098 | 16.53833 | 18.56719 | 2020-09-22T14:22:01.867+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
589774 | 24298466 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2016 | SEX | MLE | 18.1 | 18.10093 | 16.71861 | 19.58124 | 2020-09-22T14:22:01.913+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
589775 | 24298467 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2017 | SEX | MLE | 16.5 | 16.48875 | 14.81736 | 18.35481 | 2020-09-22T14:22:01.943+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
589776 | 24298468 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2018 | SEX | MLE | 16 | 16.00584 | 13.89646 | 18.39358 | 2020-09-22T14:22:01.977+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
589777 | 24298469 | MDG_0000000007 | COUNTRY | BRA | YEAR | 2019 | SEX | MLE | 15.5 | 15.50888 | 12.93048 | 18.46383 | 2020-09-22T14:22:02.007+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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