Источник данных: Всемирная организация здравоохранения (ВОЗ)
Последнее обновление данных: 27.12.2020
Мьянма: Общие индикаторы материнства
Среднее количество детей на одну женщину в возрасте от 15 до 49 лет. Мьянма
2016 | 2013 | 2012 | 2011 |
---|---|---|---|
2.2 | 1.9 | 1.96 | 1.98 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1251903 | archive24995 | WHS9_95 | COUNTRY | MMR | YEAR | 2011 | 1.98 | 1.98 | From diBit's archive | 1 | ||||||||||||||
1251904 | archive25139 | WHS9_95 | COUNTRY | MMR | YEAR | 2012 | 1.96 | 1.96 | From diBit's archive | 1 | ||||||||||||||
1251905 | archive56557 | WHS9_95 | COUNTRY | MMR | YEAR | 2013 | 1.9 | 1.938 | From diBit's archive | 1 | ||||||||||||||
540072 | 18117844 | WHS9_95 | COUNTRY | MMR | YEAR | 2016 | 2.2 | 2.207 | 2018-03-15T14:37:35.36+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. Мьянма
2016 | 2007 | 2001 | 1997 |
---|---|---|---|
58.6 | 73.4 | 38.3 | 36.6 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1263978 | 22384512 | WHS4_154 | COUNTRY | MMR | YEAR | 1997 | 36.6 | 36.6 | Ministry of Immigration and Population [Myanmar], UNFPA; 2004.Myanmar Fertility and Reproductive Health Survey 2001. Detailed Analysis Report. Yangon: Ministry of Immigration and Population [Myanmar], United Nations Population Fund (UNFPA); 2004. | 2020-05-26T12:12:14.553+02:00 | 1992-1997 | 1992-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | ||||||||||
1263979 | 22384513 | WHS4_154 | COUNTRY | MMR | YEAR | 2001 | 38.3 | 38.3 | Ministry of Immigration and Population [Myanmar], UNFPA; 2004.Myanmar Fertility and Reproductive Health Survey 2001. Detailed Analysis Report. Yangon: Ministry of Immigration and Population [Myanmar], United Nations Population Fund (UNFPA); 2004. | 2020-05-26T12:12:14.583+02:00 | 1996-2001 | 1996-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
1263980 | 22384514 | WHS4_154 | COUNTRY | MMR | YEAR | 2007 | 73.4 | 73.4 | Ministry of Immigration and Population [Myanmar], UNFPA; 2009.Country Report on 2007 Fertility and Reproductive Health Survey. Nay Pyi Taw: Ministry of Immigration and Population [Myanmar], United Nations Population Fund (UNFPA); 2009. | 2020-05-26T12:12:14.6+02:00 | 2002-2007 | 2002-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
1263981 | 22384515 | WHS4_154 | COUNTRY | MMR | YEAR | 2016 | 58.6 | 58.6 | DHS 2015-16. Ministry of Health and Sports (MoHS), ICF. Myanmar Demographic and Health Survey 2015-16. Nay Pyi Taw, Myanmar, Rockville, Maryland USA: Ministry of Health and Sports, ICF; 2017. | 2020-05-26T12:12:14.617+02:00 | 2010-2016 | 2010-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Роды в присутствии квалифицированного медицинского персонала, в процентах от всех родов. Мьянма
2016 | 2010 | 2007 |
---|---|---|
60.2 | 70.6 | 63.9 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1246298 | 22214214 | MDG_0000000025 | COUNTRY | MMR | YEAR | 2007 | 64 | 63.9 | RHS 2007. Ministry of Immigration and Population [Myanmar], UNFPA; 2009. | 2020-04-08T14:41:31.03+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
1246297 | 22214213 | MDG_0000000025 | COUNTRY | MMR | YEAR | 2010 | 71 | 70.6 | Survey for years 2009-2010. MICS 2009-2010. Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:31.017+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
1246296 | 22214212 | MDG_0000000025 | COUNTRY | MMR | YEAR | 2016 | 60 | 60.2 | Survey for years 2015-2016. DHS 2015-16. Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:31+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 |
Роды путем кесарева сечения, в процентах от общей численности родов. Мьянма
2016 |
---|
17.1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
540247 | 18182573 | WHS4_115 | COUNTRY | MMR | YEAR | 2016 | 17.1 | 17.1 | DHS 2015-16. Ministry of Health and Sports (MoHS), ICF. Myanmar Demographic and Health Survey 2015-16. Nay Pyi Taw, Myanmar, Rockville, Maryland USA: Ministry of Health and Sports, ICF; 2017. | 2018-04-09T09:34:07.067+02:00 | 2010-2016 | 2010-01-01T00:00:00+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. Мьянма
2015 | 2009 | 2000 |
---|---|---|
51.2 | 23.6 | 10.5 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
540609 | 20724057 | WHOSIS_000006 | COUNTRY | MMR | YEAR | 2000 | 10.5 | 10.48151 | 2019-04-09T11:38:21.087+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||||
540610 | 20724058 | WHOSIS_000006 | COUNTRY | MMR | YEAR | 2009 | 23.6 | 23.6 | 2019-04-09T11:38:21.103+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||||
540611 | 20724059 | WHOSIS_000006 | COUNTRY | MMR | YEAR | 2015 | 51.2 | 51.23788 | 2019-04-09T11:38:21.12+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 |
Число рожениц-подростков, на 1'000 женщин в возрасте 15-19 лет. Мьянма
2015 | 2014 | 2013 | 2007 | 2006 | 2005 | 2001 |
---|---|---|---|---|---|---|
28.0 | 36.0 | 33.0 | 16.7 | 16.9 | 18.5 | 17.4 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
542200 | 22238646 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2000 | 22.7 | 22.7 | Myanmar 2001 Fertility and Reproductive Health Survey | 2020-04-23T13:46:07.6+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
542201 | 22238647 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2001 | 17.4 | 17.4 | Myanmar 2001 Fertility and Reproductive Health Survey | 2020-04-23T13:46:07.617+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
542202 | 22238648 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2005 | 18.5 | 18.5 | Myanmar 2007 Fertility and Reproductive Health Survey | 2020-04-23T13:46:07.633+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | ||||||||||
542203 | 22238649 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2006 | 16.9 | 16.9 | Myanmar 2007 Fertility and Reproductive Health Survey | 2020-04-23T13:46:07.663+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
542204 | 22238650 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2007 | 16.7 | 16.7 | Myanmar 2007 Fertility and Reproductive Health Survey | 2020-04-23T13:46:07.68+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
542205 | 22238651 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2013 | 33.0 | 33 | Myanmar 2014 Census | 2020-04-23T13:46:07.697+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
542206 | 22238652 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2014 | 36.0 | 36 | Myanmar 2015-2016 Demographic and Health Survey | 2020-04-23T13:46:07.71+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
542207 | 22238653 | MDG_0000000003 | COUNTRY | MMR | YEAR | 2015 | 28.0 | 28 | Registration National Statistics | 2020-04-23T13:46:07.727+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 |
Доля женщин, которые используют контрацептивы, в процентах от всех женщин в возрасте 15-49 лет. Мьянма
2010 |
---|
46 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1244807 | 10726297 | MDG_0000000005 | COUNTRY | MMR | YEAR | 2010 | 46 | 46 | 2015-05-11T11:14:08.21+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 |
Мьянма: Смертность матерей и детей
Количество материнских смертей. Мьянма
2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|
2'400 | 2'300 | 2'300 | 2'400 | 2'400 | 2'500 | 2'600 | 2'800 | 3'100 | 3'300 | 3'600 | 3'800 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
545047 | 21458422 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2000 | 3 900 [ 3 100 - 5 000 ] | 3900 | 3100 | 5000 | 2019-09-24T09:30:51.793+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
545048 | 21458423 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2001 | 3 800 [ 3 000 - 4 800 ] | 3800 | 3000 | 4800 | 2019-09-24T09:30:51.823+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
545049 | 21458424 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2002 | 3 700 [ 3 000 - 4 600 ] | 3700 | 3000 | 4600 | 2019-09-24T09:30:51.84+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
545050 | 21458425 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2003 | 3 600 [ 2 900 - 4 400 ] | 3600 | 2900 | 4400 | 2019-09-24T09:30:51.853+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
545051 | 21458426 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2004 | 3 500 [ 2 800 - 4 300 ] | 3500 | 2800 | 4300 | 2019-09-24T09:30:51.887+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
545052 | 21458427 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2005 | 3 300 [ 2 700 - 4 100 ] | 3300 | 2700 | 4100 | 2019-09-24T09:30:51.9+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
545053 | 21458428 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2006 | 3 200 [ 2 600 - 4 000 ] | 3200 | 2600 | 4000 | 2019-09-24T09:30:51.917+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
545054 | 21458429 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2007 | 3 100 [ 2 500 - 3 800 ] | 3100 | 2500 | 3800 | 2019-09-24T09:30:51.933+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
545055 | 21458430 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2008 | 3 000 [ 2 200 - 4 200 ] | 3000 | 2200 | 4200 | 2019-09-24T09:30:51.967+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
545056 | 21458431 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2009 | 2 800 [ 2 200 - 3 500 ] | 2800 | 2200 | 3500 | 2019-09-24T09:30:51.98+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
545057 | 21458432 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2010 | 2 700 [ 2 100 - 3 300 ] | 2700 | 2100 | 3300 | 2019-09-24T09:30:51.997+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
545058 | 21458433 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2011 | 2 600 [ 2 000 - 3 200 ] | 2600 | 2000 | 3200 | 2019-09-24T09:30:52.013+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
545059 | 21458434 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2012 | 2 500 [ 1 900 - 3 100 ] | 2500 | 1900 | 3100 | 2019-09-24T09:30:52.043+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
545060 | 21458435 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2013 | 2 400 [ 1 900 - 3 100 ] | 2400 | 1900 | 3100 | 2019-09-24T09:30:52.06+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
545061 | 21458436 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2014 | 2 400 [ 1 800 - 3 100 ] | 2400 | 1800 | 3100 | 2019-09-24T09:30:52.073+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
545062 | 21458437 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2015 | 2 300 [ 1 800 - 3 200 ] | 2300 | 1800 | 3200 | 2019-09-24T09:30:52.09+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
545063 | 21458438 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2016 | 2 300 [ 1 700 - 3 200 ] | 2300 | 1700 | 3200 | 2019-09-24T09:30:52.107+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
545064 | 21458439 | MORT_MATERNALNUM | COUNTRY | MMR | YEAR | 2017 | 2 400 [ 1 700 - 3 300 ] | 2400 | 1700 | 3300 | 2019-09-24T09:30:52.12+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. Мьянма
2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|
250 | 245 | 246 | 247 | 251 | 254 | 259 | 274 | 287 | 299 | 314 | 331 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
547286 | 21460535 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2000 | 340 [ 268 - 432 ] | 340 | 268 | 432 | 2019-09-24T09:31:39.21+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
547306 | 21460555 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2001 | 331 [ 263 - 415 ] | 331 | 263 | 415 | 2019-09-24T09:31:39.78+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
547322 | 21460571 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2002 | 323 [ 259 - 402 ] | 323 | 259 | 402 | 2019-09-24T09:31:40.19+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
547331 | 21460580 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2003 | 314 [ 253 - 389 ] | 314 | 253 | 389 | 2019-09-24T09:31:40.407+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
547339 | 21460588 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2004 | 307 [ 249 - 379 ] | 307 | 249 | 379 | 2019-09-24T09:31:40.643+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
547349 | 21460598 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2005 | 299 [ 243 - 370 ] | 299 | 243 | 370 | 2019-09-24T09:31:41.477+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
547358 | 21460607 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2006 | 293 [ 237 - 362 ] | 293 | 237 | 362 | 2019-09-24T09:31:41.703+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
547364 | 21460613 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2007 | 287 [ 231 - 354 ] | 287 | 231 | 354 | 2019-09-24T09:31:41.83+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
547323 | 21460572 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2008 | 289 [ 208 - 400 ] | 289 | 208 | 400 | 2019-09-24T09:31:40.22+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
547390 | 21460639 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2009 | 274 [ 218 - 339 ] | 274 | 218 | 339 | 2019-09-24T09:31:42.413+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
547400 | 21460649 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2010 | 265 [ 210 - 331 ] | 265 | 210 | 331 | 2019-09-24T09:31:42.65+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
547407 | 21460656 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2011 | 259 [ 203 - 327 ] | 259 | 203 | 327 | 2019-09-24T09:31:42.837+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
547416 | 21460665 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2012 | 254 [ 198 - 324 ] | 254 | 198 | 324 | 2019-09-24T09:31:43.04+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
547417 | 21460666 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2013 | 251 [ 194 - 324 ] | 251 | 194 | 324 | 2019-09-24T09:31:43.073+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
547411 | 21460660 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2014 | 247 [ 190 - 326 ] | 247 | 190 | 326 | 2019-09-24T09:31:42.93+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
547399 | 21460648 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2015 | 246 [ 186 - 332 ] | 246 | 186 | 332 | 2019-09-24T09:31:42.633+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
547392 | 21460641 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2016 | 245 [ 182 - 338 ] | 245 | 182 | 338 | 2019-09-24T09:31:42.46+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
547371 | 21460620 | MDG_0000000026 | COUNTRY | MMR | YEAR | 2017 | 250 [ 182 - 351 ] | 250 | 182 | 351 | 2019-09-24T09:31:41.99+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Количество мертворожденных, на 1'000 родившихся. Мьянма
2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
---|---|---|---|---|---|---|---|---|---|---|---|---|
14.1 | 14.3 | 14.6 | 14.8 | 15 | 15.3 | 15.5 | 16.1 | 16.5 | 17 | 17.6 | 18.5 | 19.5 |
Данные источника (ВОЗ)
id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
552227 | 24437494 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2000 | 20 | 19.98934 | 12.0753 | 33.70382 | 2020-10-12T12:03:26.663+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
552228 | 24437495 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2001 | 19.5 | 19.53918 | 11.88151 | 32.75576 | 2020-10-12T12:03:26.693+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
552229 | 24437496 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2002 | 19 | 19.02734 | 11.69576 | 31.56218 | 2020-10-12T12:03:26.71+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
552230 | 24437497 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2003 | 18.5 | 18.46619 | 11.40824 | 30.20801 | 2020-10-12T12:03:26.723+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
552231 | 24437498 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2004 | 18.1 | 18.05581 | 11.1061 | 29.14534 | 2020-10-12T12:03:26.77+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
552232 | 24437499 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2005 | 17.6 | 17.62356 | 11.00608 | 28.47056 | 2020-10-12T12:03:26.787+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
552233 | 24437500 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2006 | 17.3 | 17.27674 | 10.874 | 27.58682 | 2020-10-12T12:03:26.803+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
552234 | 24437501 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2007 | 17 | 16.99251 | 10.6955 | 26.9201 | 2020-10-12T12:03:26.82+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
552235 | 24437502 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2008 | 16.8 | 16.83342 | 10.55126 | 26.80908 | 2020-10-12T12:03:26.833+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
552236 | 24437503 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2009 | 16.5 | 16.54761 | 10.35486 | 26.15454 | 2020-10-12T12:03:26.867+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
552237 | 24437504 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2010 | 16.3 | 16.31484 | 10.29017 | 25.80761 | 2020-10-12T12:03:26.88+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
552238 | 24437505 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2011 | 16.1 | 16.10384 | 10.04158 | 25.33164 | 2020-10-12T12:03:26.897+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
552239 | 24437506 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2012 | 15.8 | 15.83744 | 9.8616 | 25.29398 | 2020-10-12T12:03:26.93+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
552240 | 24437507 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2013 | 15.5 | 15.53488 | 9.7956 | 24.87161 | 2020-10-12T12:03:26.943+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
552241 | 24437508 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2014 | 15.3 | 15.30393 | 9.62123 | 24.66886 | 2020-10-12T12:03:26.96+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
552242 | 24437509 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2015 | 15 | 15.00681 | 9.43385 | 24.34698 | 2020-10-12T12:03:26.99+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
552243 | 24437510 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2016 | 14.8 | 14.77063 | 9.25534 | 24.02014 | 2020-10-12T12:03:27.007+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
552244 | 24437511 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2017 | 14.6 | 14.55502 | 9.03059 | 24.06334 | 2020-10-12T12:03:27.04+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||||
552245 | 24437512 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2018 | 14.3 | 14.3497 | 8.91222 | 23.93319 | 2020-10-12T12:03:27.053+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||||
552246 | 24437513 | WHOSIS_000014 | COUNTRY | MMR | YEAR | 2019 | 14.1 | 14.12696 | 8.60163 | 23.79776 | 2020-10-12T12:03:27.07+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. Мьянма
2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Мужчины | 23'263 | 24'165 | 25'145 | 26'126 | 27'174 | 28'392 | 29'788 | 33'292 | 37'540 | 42'216 | 46'685 | 50'468 | 53'397 | 55'682 | 57'843 | 60'475 | 63'834 | 67'979 |
Женщины | 18'633 | 19'417 | 20'182 | 21'059 | 22'019 | 23'046 | 24'280 | 27'302 | 30'972 | 35'062 | 38'898 | 42'236 | 44'815 | 46'844 | 48'868 | 51'220 | 54'219 | 57'943 |
Оба пола | 41'896 | 43'582 | 45'327 | 47'185 | 49'193 | 51'438 | 54'068 | 60'594 | 68'512 | 77'278 | 85'583 | 92'704 | 98'212 | 102'526 | 106'711 | 111'695 | 118'053 | 125'922 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
572826 | 24205885 | CM_01 | COUNTRY | MMR | YEAR | 1991 | SEX | BTSX | 125922 | 125922 | 115850 | 137534 | 2020-09-22T13:33:17.78+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
572827 | 24205886 | CM_01 | COUNTRY | MMR | YEAR | 1992 | SEX | BTSX | 121827 | 121827 | 112316 | 132747 | 2020-09-22T13:33:17.81+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
572828 | 24205887 | CM_01 | COUNTRY | MMR | YEAR | 1993 | SEX | BTSX | 118053 | 118053 | 109046 | 128564 | 2020-09-22T13:33:17.843+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
572829 | 24205888 | CM_01 | COUNTRY | MMR | YEAR | 1994 | SEX | BTSX | 114710 | 114710 | 105984 | 124806 | 2020-09-22T13:33:17.873+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
572830 | 24205889 | CM_01 | COUNTRY | MMR | YEAR | 1995 | SEX | BTSX | 111695 | 111695 | 103356 | 121276 | 2020-09-22T13:33:17.89+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
572831 | 24205890 | CM_01 | COUNTRY | MMR | YEAR | 1996 | SEX | BTSX | 109046 | 109046 | 100873 | 118351 | 2020-09-22T13:33:17.92+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
572832 | 24205891 | CM_01 | COUNTRY | MMR | YEAR | 1997 | SEX | BTSX | 106711 | 106711 | 98711 | 115662 | 2020-09-22T13:33:17.937+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
572833 | 24205892 | CM_01 | COUNTRY | MMR | YEAR | 1998 | SEX | BTSX | 104563 | 104563 | 96756 | 113291 | 2020-09-22T13:33:17.95+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
572834 | 24205893 | CM_01 | COUNTRY | MMR | YEAR | 1999 | SEX | BTSX | 102526 | 102526 | 94841 | 111078 | 2020-09-22T13:33:17.983+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
572835 | 24205894 | CM_01 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | 100470 | 100470 | 92778 | 108964 | 2020-09-22T13:33:18+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
572836 | 24205895 | CM_01 | COUNTRY | MMR | YEAR | 2001 | SEX | BTSX | 98212 | 98212 | 90400 | 106596 | 2020-09-22T13:33:18.03+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
572837 | 24205896 | CM_01 | COUNTRY | MMR | YEAR | 2002 | SEX | BTSX | 95673 | 95673 | 87880 | 103940 | 2020-09-22T13:33:18.047+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
572838 | 24205897 | CM_01 | COUNTRY | MMR | YEAR | 2003 | SEX | BTSX | 92704 | 92704 | 84978 | 100937 | 2020-09-22T13:33:18.077+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
572839 | 24205898 | CM_01 | COUNTRY | MMR | YEAR | 2004 | SEX | BTSX | 89346 | 89346 | 81717 | 97626 | 2020-09-22T13:33:18.093+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
572840 | 24205899 | CM_01 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | 85583 | 85583 | 77972 | 94011 | 2020-09-22T13:33:18.107+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
572841 | 24205900 | CM_01 | COUNTRY | MMR | YEAR | 2006 | SEX | BTSX | 81536 | 81536 | 73915 | 90061 | 2020-09-22T13:33:18.14+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
572842 | 24205901 | CM_01 | COUNTRY | MMR | YEAR | 2007 | SEX | BTSX | 77278 | 77278 | 69538 | 85846 | 2020-09-22T13:33:18.153+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
572843 | 24205902 | CM_01 | COUNTRY | MMR | YEAR | 2008 | SEX | BTSX | 95458 | 95458 | 85087 | 106963 | 2020-09-22T13:33:18.187+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
572844 | 24205903 | CM_01 | COUNTRY | MMR | YEAR | 2009 | SEX | BTSX | 68512 | 68512 | 60365 | 77501 | 2020-09-22T13:33:18.2+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
572845 | 24205904 | CM_01 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | 64480 | 64480 | 55915 | 73747 | 2020-09-22T13:33:18.233+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
572846 | 24205905 | CM_01 | COUNTRY | MMR | YEAR | 2011 | SEX | BTSX | 60594 | 60594 | 51762 | 70302 | 2020-09-22T13:33:18.25+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
572847 | 24205906 | CM_01 | COUNTRY | MMR | YEAR | 2012 | SEX | BTSX | 57160 | 57160 | 47739 | 67338 | 2020-09-22T13:33:18.263+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
572848 | 24205907 | CM_01 | COUNTRY | MMR | YEAR | 2013 | SEX | BTSX | 54068 | 54068 | 44212 | 64679 | 2020-09-22T13:33:18.297+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
572849 | 24205908 | CM_01 | COUNTRY | MMR | YEAR | 2014 | SEX | BTSX | 51438 | 51438 | 41095 | 62458 | 2020-09-22T13:33:18.327+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
572850 | 24205909 | CM_01 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | 49193 | 49193 | 38320 | 60902 | 2020-09-22T13:33:18.343+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
572851 | 24205910 | CM_01 | COUNTRY | MMR | YEAR | 2016 | SEX | BTSX | 47185 | 47185 | 35689 | 59722 | 2020-09-22T13:33:18.373+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
572852 | 24205911 | CM_01 | COUNTRY | MMR | YEAR | 2017 | SEX | BTSX | 45327 | 45327 | 33440 | 58994 | 2020-09-22T13:33:18.39+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
572853 | 24205912 | CM_01 | COUNTRY | MMR | YEAR | 2018 | SEX | BTSX | 43582 | 43582 | 31191 | 58871 | 2020-09-22T13:33:18.42+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
572854 | 24205913 | CM_01 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | 41896 | 41896 | 29188 | 58635 | 2020-09-22T13:33:18.437+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
572873 | 24205932 | CM_01 | COUNTRY | MMR | YEAR | 1991 | SEX | FMLE | 57943 | 57943 | 53022 | 63554 | 2020-09-22T13:33:18.873+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
572874 | 24205933 | CM_01 | COUNTRY | MMR | YEAR | 1992 | SEX | FMLE | 55994 | 55994 | 51341 | 61285 | 2020-09-22T13:33:18.903+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
572875 | 24205934 | CM_01 | COUNTRY | MMR | YEAR | 1993 | SEX | FMLE | 54219 | 54219 | 49771 | 59303 | 2020-09-22T13:33:18.967+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
572876 | 24205935 | CM_01 | COUNTRY | MMR | YEAR | 1994 | SEX | FMLE | 52640 | 52640 | 48336 | 57469 | 2020-09-22T13:33:19+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
572877 | 24205936 | CM_01 | COUNTRY | MMR | YEAR | 1995 | SEX | FMLE | 51220 | 51220 | 47108 | 55890 | 2020-09-22T13:33:19.03+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
572878 | 24205937 | CM_01 | COUNTRY | MMR | YEAR | 1996 | SEX | FMLE | 49937 | 49937 | 45963 | 54499 | 2020-09-22T13:33:19.047+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
572879 | 24205938 | CM_01 | COUNTRY | MMR | YEAR | 1997 | SEX | FMLE | 48868 | 48868 | 44897 | 53175 | 2020-09-22T13:33:19.06+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
572880 | 24205939 | CM_01 | COUNTRY | MMR | YEAR | 1998 | SEX | FMLE | 47831 | 47831 | 43972 | 52025 | 2020-09-22T13:33:19.093+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
572881 | 24205940 | CM_01 | COUNTRY | MMR | YEAR | 1999 | SEX | FMLE | 46844 | 46844 | 43028 | 50937 | 2020-09-22T13:33:19.107+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
572882 | 24205941 | CM_01 | COUNTRY | MMR | YEAR | 2000 | SEX | FMLE | 45872 | 45872 | 42096 | 49894 | 2020-09-22T13:33:19.123+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
572883 | 24205942 | CM_01 | COUNTRY | MMR | YEAR | 2001 | SEX | FMLE | 44815 | 44815 | 41007 | 48801 | 2020-09-22T13:33:19.153+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
572884 | 24205943 | CM_01 | COUNTRY | MMR | YEAR | 2002 | SEX | FMLE | 43625 | 43625 | 39914 | 47529 | 2020-09-22T13:33:19.17+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
572885 | 24205944 | CM_01 | COUNTRY | MMR | YEAR | 2003 | SEX | FMLE | 42236 | 42236 | 38517 | 46115 | 2020-09-22T13:33:19.2+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
572886 | 24205945 | CM_01 | COUNTRY | MMR | YEAR | 2004 | SEX | FMLE | 40679 | 40679 | 36971 | 44581 | 2020-09-22T13:33:19.233+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
572887 | 24205946 | CM_01 | COUNTRY | MMR | YEAR | 2005 | SEX | FMLE | 38898 | 38898 | 35209 | 42873 | 2020-09-22T13:33:19.25+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
572888 | 24205947 | CM_01 | COUNTRY | MMR | YEAR | 2006 | SEX | FMLE | 37042 | 37042 | 33309 | 41037 | 2020-09-22T13:33:19.28+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
572889 | 24205948 | CM_01 | COUNTRY | MMR | YEAR | 2007 | SEX | FMLE | 35062 | 35062 | 31348 | 39044 | 2020-09-22T13:33:19.31+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
572890 | 24205949 | CM_01 | COUNTRY | MMR | YEAR | 2008 | SEX | FMLE | 44121 | 44121 | 39073 | 49599 | 2020-09-22T13:33:19.327+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
572891 | 24205950 | CM_01 | COUNTRY | MMR | YEAR | 2009 | SEX | FMLE | 30972 | 30972 | 27155 | 35117 | 2020-09-22T13:33:19.343+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
572892 | 24205951 | CM_01 | COUNTRY | MMR | YEAR | 2010 | SEX | FMLE | 29102 | 29102 | 25156 | 33348 | 2020-09-22T13:33:19.373+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
572893 | 24205952 | CM_01 | COUNTRY | MMR | YEAR | 2011 | SEX | FMLE | 27302 | 27302 | 23200 | 31740 | 2020-09-22T13:33:19.407+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
572894 | 24205953 | CM_01 | COUNTRY | MMR | YEAR | 2012 | SEX | FMLE | 25712 | 25712 | 21422 | 30304 | 2020-09-22T13:33:19.437+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
572895 | 24205954 | CM_01 | COUNTRY | MMR | YEAR | 2013 | SEX | FMLE | 24280 | 24280 | 19795 | 29077 | 2020-09-22T13:33:19.45+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
572896 | 24205955 | CM_01 | COUNTRY | MMR | YEAR | 2014 | SEX | FMLE | 23046 | 23046 | 18374 | 28062 | 2020-09-22T13:33:19.483+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
572897 | 24205956 | CM_01 | COUNTRY | MMR | YEAR | 2015 | SEX | FMLE | 22019 | 22019 | 17086 | 27299 | 2020-09-22T13:33:19.5+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
572898 | 24205957 | CM_01 | COUNTRY | MMR | YEAR | 2016 | SEX | FMLE | 21059 | 21059 | 15883 | 26722 | 2020-09-22T13:33:19.53+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
572899 | 24205958 | CM_01 | COUNTRY | MMR | YEAR | 2017 | SEX | FMLE | 20182 | 20182 | 14845 | 26431 | 2020-09-22T13:33:19.593+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
572900 | 24205959 | CM_01 | COUNTRY | MMR | YEAR | 2018 | SEX | FMLE | 19417 | 19417 | 13846 | 26184 | 2020-09-22T13:33:19.607+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
572901 | 24205960 | CM_01 | COUNTRY | MMR | YEAR | 2019 | SEX | FMLE | 18633 | 18633 | 12915 | 26087 | 2020-09-22T13:33:19.703+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
572920 | 24205979 | CM_01 | COUNTRY | MMR | YEAR | 1991 | SEX | MLE | 67979 | 67979 | 62295 | 74376 | 2020-09-22T13:33:20.25+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
572921 | 24205980 | CM_01 | COUNTRY | MMR | YEAR | 1992 | SEX | MLE | 65833 | 65833 | 60427 | 71912 | 2020-09-22T13:33:20.28+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
572922 | 24205981 | CM_01 | COUNTRY | MMR | YEAR | 1993 | SEX | MLE | 63834 | 63834 | 58685 | 69716 | 2020-09-22T13:33:20.31+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
572923 | 24205982 | CM_01 | COUNTRY | MMR | YEAR | 1994 | SEX | MLE | 62070 | 62070 | 57095 | 67655 | 2020-09-22T13:33:20.327+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
572924 | 24205983 | CM_01 | COUNTRY | MMR | YEAR | 1995 | SEX | MLE | 60475 | 60475 | 55702 | 65835 | 2020-09-22T13:33:20.343+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
572925 | 24205984 | CM_01 | COUNTRY | MMR | YEAR | 1996 | SEX | MLE | 59109 | 59109 | 54465 | 64234 | 2020-09-22T13:33:20.373+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
572926 | 24205985 | CM_01 | COUNTRY | MMR | YEAR | 1997 | SEX | MLE | 57843 | 57843 | 53352 | 62853 | 2020-09-22T13:33:20.403+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
572927 | 24205986 | CM_01 | COUNTRY | MMR | YEAR | 1998 | SEX | MLE | 56732 | 56732 | 52282 | 61610 | 2020-09-22T13:33:20.437+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
572928 | 24205987 | CM_01 | COUNTRY | MMR | YEAR | 1999 | SEX | MLE | 55682 | 55682 | 51298 | 60474 | 2020-09-22T13:33:20.45+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
572929 | 24205988 | CM_01 | COUNTRY | MMR | YEAR | 2000 | SEX | MLE | 54598 | 54598 | 50226 | 59388 | 2020-09-22T13:33:20.467+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
572930 | 24205989 | CM_01 | COUNTRY | MMR | YEAR | 2001 | SEX | MLE | 53397 | 53397 | 49024 | 58120 | 2020-09-22T13:33:20.5+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
572931 | 24205990 | CM_01 | COUNTRY | MMR | YEAR | 2002 | SEX | MLE | 52048 | 52048 | 47631 | 56675 | 2020-09-22T13:33:20.513+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
572932 | 24205991 | CM_01 | COUNTRY | MMR | YEAR | 2003 | SEX | MLE | 50468 | 50468 | 46121 | 55178 | 2020-09-22T13:33:20.547+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
572933 | 24205992 | CM_01 | COUNTRY | MMR | YEAR | 2004 | SEX | MLE | 48667 | 48667 | 44352 | 53397 | 2020-09-22T13:33:20.56+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
572934 | 24205993 | CM_01 | COUNTRY | MMR | YEAR | 2005 | SEX | MLE | 46685 | 46685 | 42367 | 51433 | 2020-09-22T13:33:20.593+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
572935 | 24205994 | CM_01 | COUNTRY | MMR | YEAR | 2006 | SEX | MLE | 44494 | 44494 | 40176 | 49230 | 2020-09-22T13:33:20.607+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
572936 | 24205995 | CM_01 | COUNTRY | MMR | YEAR | 2007 | SEX | MLE | 42216 | 42216 | 37817 | 46986 | 2020-09-22T13:33:20.64+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
572937 | 24205996 | CM_01 | COUNTRY | MMR | YEAR | 2008 | SEX | MLE | 51337 | 51337 | 45571 | 57659 | 2020-09-22T13:33:20.653+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
572938 | 24205997 | CM_01 | COUNTRY | MMR | YEAR | 2009 | SEX | MLE | 37540 | 37540 | 32971 | 42520 | 2020-09-22T13:33:20.67+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
572939 | 24205998 | CM_01 | COUNTRY | MMR | YEAR | 2010 | SEX | MLE | 35378 | 35378 | 30603 | 40542 | 2020-09-22T13:33:20.7+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
572940 | 24205999 | CM_01 | COUNTRY | MMR | YEAR | 2011 | SEX | MLE | 33292 | 33292 | 28362 | 38676 | 2020-09-22T13:33:20.717+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
572941 | 24206000 | CM_01 | COUNTRY | MMR | YEAR | 2012 | SEX | MLE | 31448 | 31448 | 26177 | 36981 | 2020-09-22T13:33:20.75+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
572942 | 24206001 | CM_01 | COUNTRY | MMR | YEAR | 2013 | SEX | MLE | 29788 | 29788 | 24288 | 35603 | 2020-09-22T13:33:20.763+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
572943 | 24206002 | CM_01 | COUNTRY | MMR | YEAR | 2014 | SEX | MLE | 28392 | 28392 | 22668 | 34462 | 2020-09-22T13:33:20.797+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
572944 | 24206003 | CM_01 | COUNTRY | MMR | YEAR | 2015 | SEX | MLE | 27174 | 27174 | 21133 | 33634 | 2020-09-22T13:33:20.81+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
572945 | 24206004 | CM_01 | COUNTRY | MMR | YEAR | 2016 | SEX | MLE | 26126 | 26126 | 19733 | 33053 | 2020-09-22T13:33:20.843+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
572946 | 24206005 | CM_01 | COUNTRY | MMR | YEAR | 2017 | SEX | MLE | 25145 | 25145 | 18526 | 32733 | 2020-09-22T13:33:20.857+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
572947 | 24206006 | CM_01 | COUNTRY | MMR | YEAR | 2018 | SEX | MLE | 24165 | 24165 | 17248 | 32618 | 2020-09-22T13:33:20.873+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
572948 | 24206007 | CM_01 | COUNTRY | MMR | YEAR | 2019 | SEX | MLE | 23263 | 23263 | 16155 | 32579 | 2020-09-22T13:33:20.903+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. Мьянма
2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Мужчины | 48.8 | 50.6 | 52.6 | 54.4 | 56.3 | 58.4 | 60.7 | 65.8 | 71.3 | 77 | 82.5 | 87.8 | 92.8 | 97.8 | 102.8 | 108.2 | 113.8 | 119.2 |
Женщины | 40.2 | 41.9 | 43.4 | 45.1 | 46.9 | 48.8 | 50.8 | 55.4 | 60.4 | 65.6 | 70.7 | 75.5 | 80.1 | 84.6 | 89.3 | 94.2 | 99.2 | 104.3 |
Оба пола | 44.7 | 46.4 | 48.1 | 49.9 | 51.8 | 53.7 | 55.8 | 60.7 | 66 | 71.5 | 76.7 | 81.8 | 86.6 | 91.4 | 96.3 | 101.3 | 106.6 | 112 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
605977 | 24314669 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1991 | SEX | BTSX | 112 | 111.95548 | 102.91475 | 122.3632 | 2020-09-22T14:33:58.687+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
605978 | 24314670 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1992 | SEX | BTSX | 109.3 | 109.27217 | 100.68751 | 119.11316 | 2020-09-22T14:33:58.843+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
605979 | 24314671 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1993 | SEX | BTSX | 106.6 | 106.5744 | 98.38295 | 116.15884 | 2020-09-22T14:33:58.983+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
605980 | 24314672 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1994 | SEX | BTSX | 104 | 103.95837 | 95.99959 | 113.16568 | 2020-09-22T14:33:59.127+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
605981 | 24314673 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1995 | SEX | BTSX | 101.3 | 101.34047 | 93.70105 | 110.14676 | 2020-09-22T14:33:59.267+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
605982 | 24314674 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1996 | SEX | BTSX | 98.8 | 98.77087 | 91.30089 | 107.27418 | 2020-09-22T14:33:59.423+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
605983 | 24314675 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1997 | SEX | BTSX | 96.3 | 96.25878 | 89.00082 | 104.42076 | 2020-09-22T14:33:59.563+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
605984 | 24314676 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1998 | SEX | BTSX | 93.8 | 93.7803 | 86.71602 | 101.68986 | 2020-09-22T14:33:59.703+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
605985 | 24314677 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1999 | SEX | BTSX | 91.4 | 91.36166 | 84.47707 | 99.05513 | 2020-09-22T14:33:59.843+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
605986 | 24314678 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2000 | SEX | BTSX | 89 | 88.9917 | 82.13311 | 96.58522 | 2020-09-22T14:33:59.983+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
605987 | 24314679 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2001 | SEX | BTSX | 86.6 | 86.61882 | 79.69846 | 94.08131 | 2020-09-22T14:34:00.14+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
605988 | 24314680 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2002 | SEX | BTSX | 84.3 | 84.25179 | 77.34703 | 91.58564 | 2020-09-22T14:34:00.297+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
605989 | 24314681 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2003 | SEX | BTSX | 81.8 | 81.79715 | 74.94581 | 89.0926 | 2020-09-22T14:34:00.437+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
605990 | 24314682 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2004 | SEX | BTSX | 79.3 | 79.29533 | 72.48834 | 86.67561 | 2020-09-22T14:34:00.58+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
605991 | 24314683 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2005 | SEX | BTSX | 76.7 | 76.71262 | 69.87848 | 84.27196 | 2020-09-22T14:34:00.733+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
605992 | 24314684 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2006 | SEX | BTSX | 74.1 | 74.10542 | 67.16948 | 81.84476 | 2020-09-22T14:34:00.877+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
605993 | 24314685 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2007 | SEX | BTSX | 71.5 | 71.45524 | 64.31184 | 79.36808 | 2020-09-22T14:34:01.017+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
605994 | 24314686 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2008 | SEX | BTSX | 89.1 | 89.07292 | 79.46624 | 99.70715 | 2020-09-22T14:34:01.157+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
605995 | 24314687 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2009 | SEX | BTSX | 66 | 66.04377 | 58.19957 | 74.70269 | 2020-09-22T14:34:01.297+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
605996 | 24314688 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2010 | SEX | BTSX | 63.4 | 63.39325 | 54.98323 | 72.46984 | 2020-09-22T14:34:01.453+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
605997 | 24314689 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2011 | SEX | BTSX | 60.7 | 60.70494 | 51.87674 | 70.41862 | 2020-09-22T14:34:01.593+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
605998 | 24314690 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2012 | SEX | BTSX | 58.2 | 58.21797 | 48.64691 | 68.55886 | 2020-09-22T14:34:01.733+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
605999 | 24314691 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2013 | SEX | BTSX | 55.8 | 55.83525 | 45.65409 | 66.77273 | 2020-09-22T14:34:01.923+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
606000 | 24314692 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2014 | SEX | BTSX | 53.7 | 53.70351 | 42.90949 | 65.21057 | 2020-09-22T14:34:02.063+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
606001 | 24314693 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2015 | SEX | BTSX | 51.8 | 51.76916 | 40.32689 | 64.07948 | 2020-09-22T14:34:02.203+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
606002 | 24314694 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2016 | SEX | BTSX | 49.9 | 49.91908 | 37.75106 | 63.19247 | 2020-09-22T14:34:02.343+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
606003 | 24314695 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2017 | SEX | BTSX | 48.1 | 48.11328 | 35.48787 | 62.63163 | 2020-09-22T14:34:02.483+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
606004 | 24314696 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2018 | SEX | BTSX | 46.4 | 46.36709 | 33.16272 | 62.63744 | 2020-09-22T14:34:02.64+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
606005 | 24314697 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2019 | SEX | BTSX | 44.7 | 44.66096 | 31.09123 | 62.52851 | 2020-09-22T14:34:02.78+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
606029 | 24314721 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1991 | SEX | FMLE | 104.3 | 104.30875 | 95.46374 | 114.58731 | 2020-09-22T14:34:06.267+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
606030 | 24314722 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1992 | SEX | FMLE | 101.8 | 101.7915 | 93.29821 | 111.47407 | 2020-09-22T14:34:06.423+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
606031 | 24314723 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1993 | SEX | FMLE | 99.2 | 99.21919 | 91.00803 | 108.56141 | 2020-09-22T14:34:06.58+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
606032 | 24314724 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1994 | SEX | FMLE | 96.7 | 96.67862 | 88.75148 | 105.65081 | 2020-09-22T14:34:06.72+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
606033 | 24314725 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1995 | SEX | FMLE | 94.2 | 94.16866 | 86.59989 | 102.90037 | 2020-09-22T14:34:06.86+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
606034 | 24314726 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1996 | SEX | FMLE | 91.7 | 91.6814 | 84.37406 | 100.16286 | 2020-09-22T14:34:07+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
606035 | 24314727 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1997 | SEX | FMLE | 89.3 | 89.31029 | 82.09614 | 97.36369 | 2020-09-22T14:34:07.157+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
606036 | 24314728 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1998 | SEX | FMLE | 86.9 | 86.94333 | 79.96309 | 94.74032 | 2020-09-22T14:34:07.297+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
606037 | 24314729 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1999 | SEX | FMLE | 84.6 | 84.60977 | 77.73447 | 92.13393 | 2020-09-22T14:34:07.437+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
606038 | 24314730 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2000 | SEX | FMLE | 82.3 | 82.33777 | 75.59748 | 89.71965 | 2020-09-22T14:34:07.593+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
606039 | 24314731 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2001 | SEX | FMLE | 80.1 | 80.09794 | 73.32418 | 87.35235 | 2020-09-22T14:34:07.733+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
606040 | 24314732 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2002 | SEX | FMLE | 77.8 | 77.8399 | 71.24963 | 84.93824 | 2020-09-22T14:34:07.877+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
606041 | 24314733 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2003 | SEX | FMLE | 75.5 | 75.5042 | 68.89935 | 82.55939 | 2020-09-22T14:34:08.03+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
606042 | 24314734 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2004 | SEX | FMLE | 73.1 | 73.13606 | 66.51998 | 80.2479 | 2020-09-22T14:34:08.187+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
606043 | 24314735 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2005 | SEX | FMLE | 70.7 | 70.65194 | 63.97851 | 77.93244 | 2020-09-22T14:34:08.33+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
606044 | 24314736 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2006 | SEX | FMLE | 68.2 | 68.19235 | 61.35043 | 75.59165 | 2020-09-22T14:34:08.47+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
606045 | 24314737 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2007 | SEX | FMLE | 65.6 | 65.63528 | 58.74892 | 73.15701 | 2020-09-22T14:34:08.61+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
606046 | 24314738 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2008 | SEX | FMLE | 83.3 | 83.34559 | 73.90877 | 93.64997 | 2020-09-22T14:34:08.753+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
606047 | 24314739 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2009 | SEX | FMLE | 60.4 | 60.43836 | 53.03213 | 68.60379 | 2020-09-22T14:34:08.907+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
606048 | 24314740 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2010 | SEX | FMLE | 57.9 | 57.90096 | 50.12651 | 66.46501 | 2020-09-22T14:34:09.047+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
606049 | 24314741 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2011 | SEX | FMLE | 55.4 | 55.44155 | 47.11012 | 64.42781 | 2020-09-22T14:34:09.19+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
606050 | 24314742 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2012 | SEX | FMLE | 53.1 | 53.06644 | 44.22712 | 62.53464 | 2020-09-22T14:34:09.33+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
606051 | 24314743 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2013 | SEX | FMLE | 50.8 | 50.82496 | 41.47302 | 60.85401 | 2020-09-22T14:34:09.483+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
606052 | 24314744 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2014 | SEX | FMLE | 48.8 | 48.75269 | 38.92179 | 59.39101 | 2020-09-22T14:34:09.64+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
606053 | 24314745 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2015 | SEX | FMLE | 46.9 | 46.91355 | 36.45606 | 58.23641 | 2020-09-22T14:34:09.78+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
606054 | 24314746 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2016 | SEX | FMLE | 45.1 | 45.1095 | 34.0765 | 57.31504 | 2020-09-22T14:34:09.923+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
606055 | 24314747 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2017 | SEX | FMLE | 43.4 | 43.39031 | 31.95753 | 56.92878 | 2020-09-22T14:34:10.063+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
606056 | 24314748 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2018 | SEX | FMLE | 41.9 | 41.85217 | 29.85294 | 56.51211 | 2020-09-22T14:34:10.203+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
606057 | 24314749 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2019 | SEX | FMLE | 40.2 | 40.23135 | 27.91336 | 56.41608 | 2020-09-22T14:34:10.36+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
606081 | 24314773 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1991 | SEX | MLE | 119.2 | 119.23876 | 109.25186 | 130.60034 | 2020-09-22T14:34:13.847+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
606082 | 24314774 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1992 | SEX | MLE | 116.6 | 116.57959 | 106.91682 | 127.38446 | 2020-09-22T14:34:13.987+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
606083 | 24314775 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1993 | SEX | MLE | 113.8 | 113.76136 | 104.48831 | 124.28266 | 2020-09-22T14:34:14.127+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
606084 | 24314776 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1994 | SEX | MLE | 111 | 110.98178 | 102.0583 | 121.06245 | 2020-09-22T14:34:14.283+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
606085 | 24314777 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1995 | SEX | MLE | 108.2 | 108.20731 | 99.62576 | 117.983 | 2020-09-22T14:34:14.423+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
606086 | 24314778 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1996 | SEX | MLE | 105.6 | 105.57528 | 97.27563 | 114.86642 | 2020-09-22T14:34:14.563+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
606087 | 24314779 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1997 | SEX | MLE | 102.8 | 102.81739 | 94.86947 | 111.93254 | 2020-09-22T14:34:14.72+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
606088 | 24314780 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1998 | SEX | MLE | 100.3 | 100.27176 | 92.41971 | 109.07216 | 2020-09-22T14:34:14.86+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
606089 | 24314781 | MDG_0000000007 | COUNTRY | MMR | YEAR | 1999 | SEX | MLE | 97.8 | 97.77735 | 90.10223 | 106.36248 | 2020-09-22T14:34:15+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
606090 | 24314782 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2000 | SEX | MLE | 95.3 | 95.27234 | 87.67949 | 103.82807 | 2020-09-22T14:34:15.14+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
606091 | 24314783 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2001 | SEX | MLE | 92.8 | 92.79058 | 85.22919 | 101.16438 | 2020-09-22T14:34:15.297+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
606092 | 24314784 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2002 | SEX | MLE | 90.3 | 90.31504 | 82.70258 | 98.50744 | 2020-09-22T14:34:15.44+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
606093 | 24314785 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2003 | SEX | MLE | 87.8 | 87.76288 | 80.22803 | 96.10907 | 2020-09-22T14:34:15.58+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
606094 | 24314786 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2004 | SEX | MLE | 85.1 | 85.14344 | 77.64279 | 93.51737 | 2020-09-22T14:34:15.72+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
606095 | 24314787 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2005 | SEX | MLE | 82.5 | 82.53723 | 74.91277 | 91.00277 | 2020-09-22T14:34:15.877+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
606096 | 24314788 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2006 | SEX | MLE | 79.8 | 79.75734 | 72.0676 | 88.3169 | 2020-09-22T14:34:16.017+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
606097 | 24314789 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2007 | SEX | MLE | 77 | 76.965 | 69.0229 | 85.75699 | 2020-09-22T14:34:16.157+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
606098 | 24314790 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2008 | SEX | MLE | 94.5 | 94.51759 | 84.039 | 106.11417 | 2020-09-22T14:34:16.313+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
606099 | 24314791 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2009 | SEX | MLE | 71.3 | 71.34911 | 62.76101 | 80.93697 | 2020-09-22T14:34:16.453+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
606100 | 24314792 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2010 | SEX | MLE | 68.6 | 68.55232 | 59.40755 | 78.6471 | 2020-09-22T14:34:16.593+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
606101 | 24314793 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2011 | SEX | MLE | 65.8 | 65.8309 | 56.09664 | 76.44253 | 2020-09-22T14:34:16.737+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
606102 | 24314794 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2012 | SEX | MLE | 63.2 | 63.18969 | 52.65913 | 74.30864 | 2020-09-22T14:34:16.89+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
606103 | 24314795 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2013 | SEX | MLE | 60.7 | 60.68862 | 49.498 | 72.52057 | 2020-09-22T14:34:17.047+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
606104 | 24314796 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2014 | SEX | MLE | 58.4 | 58.44149 | 46.69122 | 70.97073 | 2020-09-22T14:34:17.203+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
606105 | 24314797 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2015 | SEX | MLE | 56.3 | 56.31773 | 43.85411 | 69.80028 | 2020-09-22T14:34:17.343+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
606106 | 24314798 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2016 | SEX | MLE | 54.4 | 54.42271 | 41.16014 | 68.96377 | 2020-09-22T14:34:17.517+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
606107 | 24314799 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2017 | SEX | MLE | 52.6 | 52.56362 | 38.76564 | 68.53287 | 2020-09-22T14:34:17.657+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
606108 | 24314800 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2018 | SEX | MLE | 50.6 | 50.64358 | 36.14538 | 68.47412 | 2020-09-22T14:34:17.813+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
606109 | 24314801 | MDG_0000000007 | COUNTRY | MMR | YEAR | 2019 | SEX | MLE | 48.8 | 48.83062 | 33.93891 | 68.52632 | 2020-09-22T14:34:17.953+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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