Источник данных: Всемирная организация здравоохранения (ВОЗ)
Последнее обновление данных: 27.12.2020
Бангладеш: Общие индикаторы материнства
Среднее количество детей на одну женщину в возрасте от 15 до 49 лет. Бангладеш
| 2016 | 2013 | 2012 | 2011 |
|---|---|---|---|
| 2.1 | 2.2 | 2.21 | 2.24 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1251616 | archive5163 | WHS9_95 | COUNTRY | BGD | YEAR | 2011 | 2.24 | 2.24 | From diBit's archive | 1 | ||||||||||||||
| 1251617 | archive5258 | WHS9_95 | COUNTRY | BGD | YEAR | 2012 | 2.21 | 2.21 | From diBit's archive | 1 | ||||||||||||||
| 1251618 | archive48762 | WHS9_95 | COUNTRY | BGD | YEAR | 2013 | 2.2 | 2.177 | From diBit's archive | 1 | ||||||||||||||
| 539973 | 18117436 | WHS9_95 | COUNTRY | BGD | YEAR | 2016 | 2.1 | 2.104 | 2018-03-15T14:37:26.4+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. Бангладеш
| 2019 | 2018 | 2016 | 2014 | 2013 | 2011 | 2010 | 2004 | 2000 | 1994 |
|---|---|---|---|---|---|---|---|---|---|
| 36.9 | 47 | 37.2 | 31.2 | 25 | 25.5 | 23.4 | 15.9 | 10.5 | 5.5 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1263542 | 22384074 | WHS4_154 | COUNTRY | BGD | YEAR | 1994 | 5.5 | 5.5 | DHS 1993-1994. Mitra, S.N., M. Nawab Ali, Shahidul Islam, Anne R. Cross, Tulshi Saha (National Institute of Population Research and Training NIPORT, Mitra and Associates, Macro International Inc.). Bangladesh Demographic and Health Survey, 1993-1994. Calverton, Maryland: National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International Inc.; 1994. | 2020-05-26T12:12:05.14+02:00 | 1990-1994 | 1990-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263541 | 22384073 | WHS4_154 | COUNTRY | BGD | YEAR | 1997 | 5.8 | 5.8 | DHS 1996-1997.Mitra, S.N., Ahmed A1-Sabir, Anne R. Cross, Kanta Jamil (National Institute of Population Research and Training NIPORT, Mitra and Associates, Macro International Inc). Bangladesh Demographic and Health Survey, 1996-1997. Dhaka and Calverton, Maryland: National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International Inc.; 1997. | 2020-05-26T12:12:05.123+02:00 | 1991-1997 | 1991-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263540 | 22384072 | WHS4_154 | COUNTRY | BGD | YEAR | 2000 | 10.5 | 10.5 | DHS 1999-2000. National Institute of Population Research and Training (NIPORT), Mitra and Associates (MA), ORC Macro (ORCM). Bangladesh Demographic and Health Survey 1999-2000. Dhaka, Bangladesh and Calverton, Maryland [USA]: National Institute of Population Research and Training, Mitra and Associates, ORC Macro; 2001. | 2020-05-26T12:12:05.107+02:00 | 1994-2000 | 1994-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263539 | 22384071 | WHS4_154 | COUNTRY | BGD | YEAR | 2001 | 11.6 | 11.6 | NIPORT [Bangladesh], ORC Macro, Johns Hopkins University, icddr,b [Bangladesh]; 2003.Bangladesh Maternal Health Services and Maternal Mortality Survey 2001. Dhaka: National Institute of Population Research and Training - NIPORT [Bangladesh], ORC Macro, Johns Hopkins University, Centre for Health and Population Research - icddr,b [Bangladesh]; 2003. | 2020-05-26T12:12:05.047+02:00 | 1998-2001 | 1998-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263538 | 22384070 | WHS4_154 | COUNTRY | BGD | YEAR | 2004 | 15.9 | 15.9 | DHS 2004. National Institute of Population Research and Training (NIPORT), Mitra and Associates, ORC Macro. Bangladesh Demographic and Health Survey 2004. Dhaka, Bangladesh and Calverton, Maryland [USA]: National Institute of Population Research and Training, Mitra and Associates, ORC Macro; 2005. | 2020-05-26T12:12:05.03+02:00 | 1999-2004 | 1999-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263537 | 22384069 | WHS4_154 | COUNTRY | BGD | YEAR | 2007 | 20.6 | 20.6 | DHS 2007.National Institute of Population Research and Training (NIPORT), Mitra and Associates, Macro International. Bangladesh Demographic and Health Survey 2007. Dhaka, Bangladesh and Calverton, Maryland, USA: National Institute of Population Research and Training, Mitra and Associates, Macro International; 2009. | 2020-05-26T12:12:05+02:00 | 2002-2007 | 2002-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263536 | 22384068 | WHS4_154 | COUNTRY | BGD | YEAR | 2010 | 23.4 | 23.4 | National Institute of Population Research and Training (NIPORT), MEASURE Evaluation, icddr,b [Bangladesh]; 2012.Bangladesh Maternal Mortality and Health Care Survey 2010. Dhaka: National Institute of Population Research and Training (NIPORT), MEASURE Evaluation, icddr,b.; 2012. | 2020-05-26T12:12:04.983+02:00 | 2007-2010 | 2007-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263533 | 22384065 | WHS4_154 | COUNTRY | BGD | YEAR | 2011 | 25.5 | 25.5 | DHS 2011. National Institute of Population Research and Training (NIPORT), Mitra and Associates, ICF International. Bangladesh Demographic and Health Survey 2011. Dhaka, Bangladesh and Calverton, Maryland, USA: NIPORT, Mitra and Associates, ICF International; 2013. | 2020-05-26T12:12:04.92+02:00 | 2008-2011 | 2008-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263534 | 22384066 | WHS4_154 | COUNTRY | BGD | YEAR | 2013 | 24.7 | 24.7 | MICS 2012-2013. Bangladesh Multiple Indicator Cluster Survey 2012-2013, Progotir Pathey: Final Report. Dhaka, Bangladesh: Bangladesh Bureau of Statistics (BBS), UNICEF Bangladesh; 2014. | 2020-05-26T12:12:04.95+02:00 | 2010-2013 | 2010-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263535 | 22384067 | WHS4_154 | COUNTRY | BGD | YEAR | 2013 | 25 | 25 | National Institute of Population Research and Training (NIPORT); 2014.Utilization of Essential Service Delivery Survey 2013. Provisional Report. Bangladesh: National Institute of Population Research and Training (NIPORT); 2014. | 2020-05-26T12:12:04.967+02:00 | 2010-2013 | 2010-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263543 | 22384075 | WHS4_154 | COUNTRY | BGD | YEAR | 2014 | 31.2 | 31.2 | DHS 2014.National Institute of Population Research and Training (NIPORT), Mitra and Associates, ICF International. Bangladesh Demographic and Health Survey 2014. Dhaka, Bangladesh, and Rockville, Maryland, USA: NIPORT, Mitra and Associates, ICF International; 2016. | 2020-05-26T12:12:05.157+02:00 | 2011-2014 | 2011-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263544 | 22384076 | WHS4_154 | COUNTRY | BGD | YEAR | 2016 | 37.2 | 37.2 | Maternal Mortality and Health Care Survey 2016. Bangladesh Maternal Mortality and Health Care Survey 2016: Final Report. Dhaka and Chapel Hill: National Institute of Population Research and Training (NIPORT), International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), MEASURE Evaluation; 2019. | 2020-05-26T12:12:05.17+02:00 | 2013-2016 | 2013-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263545 | 22384077 | WHS4_154 | COUNTRY | BGD | YEAR | 2018 | 47 | 47 | DHS 2017-18 - Key Indicators. Bangladesh Demographic and Health Survey 2017-18: Key Indicators. Dhaka, Rockville, maryland: National Institute of Population Research and Training (NIPORT), ICF; 2019. | 2020-05-26T12:12:05.203+02:00 | 2014-2018 | 2014-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1263546 | 22384078 | WHS4_154 | COUNTRY | BGD | YEAR | 2019 | 36.9 | 36.9 | MICS 2019.Progotir Pathey, Bangladesh Multiple Indicator Cluster Survey 2019, Survey Findings Report. Dhaka: Bangladesh Bureau of Statistics (BBS), UNICEF Bangladesh; 2019. | 2020-05-26T12:12:05.237+02:00 | 2017-2019 | 2017-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
Роды в присутствии квалифицированного медицинского персонала, в процентах от всех родов. Бангладеш
| 2018 | 2017 | 2016 | 2014 | 2013 | 2011 | 2010 | 2006 |
|---|---|---|---|---|---|---|---|
| 52.7 | 67.8 | 49.8 | 42.1 | 34.4 | 31.7 | 26.5 | 20.1 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1245272 | 22213188 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2003 | 14 | 13.9 | UNICEF Summary Results of Multiple Indicator Cluster Survey 2003 Preliminary Report.Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.67+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245271 | 22213187 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2006 | 20 | 20.1 | MICS 2006. | 2020-04-08T14:41:10.657+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245270 | 22213186 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2007 | 18 | 18 | DHS 2007.Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.64+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245269 | 22213185 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2010 | 27 | 26.5 | National Institute of Population Research and Training (NIPORT), MEASURE Evaluation, icddr,b [Bangladesh]; 2012.Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.61+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245268 | 22213184 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2011 | 32 | 31.7 | DHS 2011. Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.593+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245266 | 22213182 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2013 | 37 | 36.5 | Survey for years 2012-2013. MICS 2012-2013. | 2020-04-08T14:41:10.547+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245267 | 22213183 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2013 | 34 | 34.4 | National Institute of Population Research and Training (NIPORT); 2014. | 2020-04-08T14:41:10.56+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245265 | 22213181 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2014 | 42 | 42.1 | DHS 2014.Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.517+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245264 | 22213180 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2016 | 50 | 49.8 | Maternal Mortality and Health Care Survey 2016. Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.5+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245263 | 22213179 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2017 | 68 | 67.8 | Bangladesh Bureau of Statistics (BBS); 2018. | 2020-04-08T14:41:10.483+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | ||||||||||
| 1245262 | 22213178 | MDG_0000000025 | COUNTRY | BGD | YEAR | 2018 | 53 | 52.7 | Survey for years 2017-2018. DHS 2017-18 - Key Indicators. Definition includes other cadres that is not in alignment with the standard definition | 2020-04-08T14:41:10.453+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 |
Роды путем кесарева сечения, в процентах от общей численности родов. Бангладеш
| 2016 | 2011 |
|---|---|
| 30.7 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1244995 | archive5101 | WHS4_115 | COUNTRY | BGD | YEAR | 2011 | 17.1 | 17.1 | From diBit's archive | 1 | ||||||||||||||
| 540154 | 18182480 | WHS4_115 | COUNTRY | BGD | YEAR | 2016 | 30.7 | 30.7 | National Institute of Population Research and Training (NIPORT), International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) , MEASURE Evaluation; 2017. Bangladesh Maternal Mortality and Health Care Survey 2016: Preliminary Report. Dhaka and Chapel Hill: National Institute of Population Research and Training (NIPORT), International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), MEASURE Evaluation; 2017. | 2018-04-09T09:34:04.877+02:00 | 2013-2016 | 2013-01-01T00:00:00+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. Бангладеш
| 2014 | 2012 | 2011 | 2007 | 2006 | 2004 | 1996 |
|---|---|---|---|---|---|---|
| 55.3 | 55.9 | 64.1 | 42.9 | 37.2 | 36.2 | 45.2 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 540353 | 20723801 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 1993 | 46.0 | 46 | 2019-04-09T11:38:16.483+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540354 | 20723802 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 1996 | 45.2 | 45.2 | 2019-04-09T11:38:16.5+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540355 | 20723803 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 2004 | 36.2 | 36.2 | 2019-04-09T11:38:16.52+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540356 | 20723804 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 2006 | 37.2 | 37.24104 | 2019-04-09T11:38:16.54+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540357 | 20723805 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 2007 | 42.9 | 42.93423 | 2019-04-09T11:38:16.557+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540358 | 20723806 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 2011 | 64.1 | 64.08829 | 2019-04-09T11:38:16.577+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540359 | 20723807 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 2012 | 55.9 | 55.89937 | 2019-04-09T11:38:16.597+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||||
| 540360 | 20723808 | WHOSIS_000006 | COUNTRY | BGD | YEAR | 2014 | 55.3 | 55.28987 | 2019-04-09T11:38:16.613+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 |
Число рожениц-подростков, на 1'000 женщин в возрасте 15-19 лет. Бангладеш
| 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2009 | 2004 | 2001 |
|---|---|---|---|---|---|---|---|---|---|
| 74.0 | 75.0 | 78.0 | 75.0 | 83.0 | 113.5 | 117.0 | 128.0 | 133.0 | 146.0 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 541060 | 22237506 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2000 | 134.0 | 134 | Bangladesh 2001 Maternal Health Services and Maternal Mortality Survey | 2020-04-23T13:45:42.637+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541061 | 22237507 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2001 | 146.0 | 146 | Bangladesh 2004 Demographic and Health Survey | 2020-04-23T13:45:42.667+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541062 | 22237508 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2002 | 137.1 | 137.1 | Bangladesh 2004 Demographic and Health Survey | 2020-04-23T13:45:42.7+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541063 | 22237509 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2004 | 133.0 | 133 | Bangladesh 2007 Demographic and Health Survey | 2020-04-23T13:45:42.713+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541064 | 22237510 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2005 | 126.2 | 126.2 | Bangladesh 2007 Demographic and Health Survey | 2020-04-23T13:45:42.73+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541065 | 22237511 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2009 | 128.0 | 128 | Bangladesh 2009 Multiple Indicator Cluster Survey | 2020-04-23T13:45:42.76+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541066 | 22237512 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2011 | 83.0 | 83 | Bangladesh 2012-2013 Multiple Indicator Cluster Survey | 2020-04-23T13:45:42.777+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541067 | 22237513 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2012 | 117.0 | 117 | Bangladesh 2014 Demographic and Health Survey | 2020-04-23T13:45:42.793+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541068 | 22237514 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2013 | 113.5 | 113.5 | Bangladesh 2014 Demographic and Health Survey | 2020-04-23T13:45:42.81+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541069 | 22237515 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2014 | 83.0 | 83 | Bangladesh Sample Vital Registration System | 2020-04-23T13:45:42.823+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541070 | 22237516 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2015 | 75.0 | 75 | Bangladesh Sample Vital Registration System | 2020-04-23T13:45:42.84+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541071 | 22237517 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2016 | 78.0 | 78 | Bangladesh Sample Vital Registration System | 2020-04-23T13:45:42.87+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541072 | 22237518 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2017 | 75.0 | 75 | Bangladesh Sample Vital Registration System | 2020-04-23T13:45:42.887+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | ||||||||||
| 541073 | 22237519 | MDG_0000000003 | COUNTRY | BGD | YEAR | 2018 | 74.0 | 74 | Bangladesh Sample Vital Registration System | 2020-04-23T13:45:42.903+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 |
Доля женщин, которые используют контрацептивы, в процентах от всех женщин в возрасте 15-49 лет. Бангладеш
| 2012 | 2011 |
|---|---|
| 61.2 | 61.2 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1244809 | 10726301 | MDG_0000000005 | COUNTRY | BGD | YEAR | 2011 | 61.2 | 61.2 | 2015-05-11T11:14:08.44+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||||
| 1244730 | 10726164 | MDG_0000000005 | COUNTRY | BGD | YEAR | 2012 | 61.2 | 61.2 | 2015-05-11T11:14:01.21+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 |
Бангладеш: Смертность матерей и детей
Количество материнских смертей. Бангладеш
| 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 5'100 | 5'500 | 6'000 | 6'500 | 6'900 | 7'300 | 7'700 | 8'500 | 9'600 | 11'000 | 14'000 | 15'000 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 543337 | 21456712 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2000 | 15 000 [ 12 000 - 19 000 ] | 15000 | 12000 | 19000 | 2019-09-24T09:30:17.443+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 543338 | 21456713 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2001 | 15 000 [ 11 000 - 19 000 ] | 15000 | 11000 | 19000 | 2019-09-24T09:30:17.46+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 543339 | 21456714 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2002 | 14 000 [ 11 000 - 18 000 ] | 14000 | 11000 | 18000 | 2019-09-24T09:30:17.49+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 543340 | 21456715 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2003 | 14 000 [ 11 000 - 17 000 ] | 14000 | 11000 | 17000 | 2019-09-24T09:30:17.507+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 543341 | 21456716 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2004 | 13 000 [ 9 900 - 16 000 ] | 13000 | 9900 | 16000 | 2019-09-24T09:30:17.52+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 543342 | 21456717 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2005 | 11 000 [ 9 100 - 14 000 ] | 11000 | 9100 | 14000 | 2019-09-24T09:30:17.537+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 543343 | 21456718 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2006 | 10 000 [ 8 300 - 13 000 ] | 10000 | 8300 | 13000 | 2019-09-24T09:30:17.57+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 543344 | 21456719 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2007 | 9 600 [ 7 700 - 12 000 ] | 9600 | 7700 | 12000 | 2019-09-24T09:30:17.583+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 543345 | 21456720 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2008 | 9 000 [ 7 200 - 11 000 ] | 9000 | 7200 | 11000 | 2019-09-24T09:30:17.6+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 543346 | 21456721 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2009 | 8 500 [ 6 800 - 11 000 ] | 8500 | 6800 | 11000 | 2019-09-24T09:30:17.63+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 543347 | 21456722 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2010 | 8 100 [ 6 400 - 10 000 ] | 8100 | 6400 | 10000 | 2019-09-24T09:30:17.647+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 543348 | 21456723 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2011 | 7 700 [ 6 100 - 9 700 ] | 7700 | 6100 | 9700 | 2019-09-24T09:30:17.677+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 543349 | 21456724 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2012 | 7 300 [ 5 800 - 9 300 ] | 7300 | 5800 | 9300 | 2019-09-24T09:30:17.693+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 543350 | 21456725 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2013 | 6 900 [ 5 400 - 8 800 ] | 6900 | 5400 | 8800 | 2019-09-24T09:30:17.74+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 543351 | 21456726 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2014 | 6 500 [ 5 000 - 8 400 ] | 6500 | 5000 | 8400 | 2019-09-24T09:30:17.787+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 543352 | 21456727 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2015 | 6 000 [ 4 600 - 7 900 ] | 6000 | 4600 | 7900 | 2019-09-24T09:30:17.803+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 543353 | 21456728 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2016 | 5 500 [ 4 200 - 7 400 ] | 5500 | 4200 | 7400 | 2019-09-24T09:30:17.82+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 543354 | 21456729 | MORT_MATERNALNUM | COUNTRY | BGD | YEAR | 2017 | 5 100 [ 3 900 - 6 900 ] | 5100 | 3900 | 6900 | 2019-09-24T09:30:17.85+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. Бангладеш
| 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 173 | 186 | 200 | 214 | 227 | 238 | 248 | 269 | 297 | 343 | 395 | 423 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 547117 | 21460366 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2000 | 434 [ 336 - 553 ] | 434 | 336 | 553 | 2019-09-24T09:31:34.947+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 547142 | 21460391 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2001 | 423 [ 329 - 537 ] | 423 | 329 | 537 | 2019-09-24T09:31:35.56+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 547167 | 21460416 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2002 | 410 [ 320 - 520 ] | 410 | 320 | 520 | 2019-09-24T09:31:36.097+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 547191 | 21460440 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2003 | 395 [ 310 - 501 ] | 395 | 310 | 501 | 2019-09-24T09:31:36.63+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 547237 | 21460486 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2004 | 372 [ 293 - 471 ] | 372 | 293 | 471 | 2019-09-24T09:31:37.657+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 547283 | 21460532 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2005 | 343 [ 272 - 433 ] | 343 | 272 | 433 | 2019-09-24T09:31:39.117+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 547324 | 21460573 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2006 | 315 [ 252 - 399 ] | 315 | 252 | 399 | 2019-09-24T09:31:40.25+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 547340 | 21460589 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2007 | 297 [ 239 - 377 ] | 297 | 239 | 377 | 2019-09-24T09:31:40.66+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 547365 | 21460614 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2008 | 280 [ 225 - 354 ] | 280 | 225 | 354 | 2019-09-24T09:31:41.85+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 547387 | 21460636 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2009 | 269 [ 215 - 340 ] | 269 | 215 | 340 | 2019-09-24T09:31:42.35+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 547404 | 21460653 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2010 | 258 [ 206 - 328 ] | 258 | 206 | 328 | 2019-09-24T09:31:42.727+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 547429 | 21460678 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2011 | 248 [ 197 - 315 ] | 248 | 197 | 315 | 2019-09-24T09:31:43.387+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 547449 | 21460698 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2012 | 238 [ 188 - 303 ] | 238 | 188 | 303 | 2019-09-24T09:31:43.94+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 547469 | 21460718 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2013 | 227 [ 178 - 290 ] | 227 | 178 | 290 | 2019-09-24T09:31:44.483+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 547480 | 21460729 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2014 | 214 [ 167 - 277 ] | 214 | 167 | 277 | 2019-09-24T09:31:44.783+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 547503 | 21460752 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2015 | 200 [ 155 - 263 ] | 200 | 155 | 263 | 2019-09-24T09:31:45.383+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 547534 | 21460783 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2016 | 186 [ 143 - 248 ] | 186 | 143 | 248 | 2019-09-24T09:31:46.247+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 547567 | 21460816 | MDG_0000000026 | COUNTRY | BGD | YEAR | 2017 | 173 [ 131 - 234 ] | 173 | 131 | 234 | 2019-09-24T09:31:47.107+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 |
Количество мертворожденных, на 1'000 родившихся. Бангладеш
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 24.3 | 25 | 25.7 | 26.4 | 27 | 27.6 | 27.9 | 28.8 | 30.8 | 33.3 | 35.6 | 37.9 | 40.3 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 550207 | 24435474 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2000 | 41.4 | 41.40262 | 34.10063 | 50.34218 | 2020-10-12T12:02:38.813+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||||
| 550208 | 24435475 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2001 | 40.3 | 40.28941 | 33.80995 | 48.22541 | 2020-10-12T12:02:38.843+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||||
| 550209 | 24435476 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2002 | 39 | 38.97208 | 33.18289 | 46.00512 | 2020-10-12T12:02:38.877+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||||
| 550210 | 24435477 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2003 | 37.9 | 37.8517 | 32.40719 | 44.33104 | 2020-10-12T12:02:38.89+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||||
| 550211 | 24435478 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2004 | 36.7 | 36.67568 | 31.70733 | 42.45884 | 2020-10-12T12:02:38.907+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||||
| 550212 | 24435479 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2005 | 35.6 | 35.56304 | 30.84371 | 41.3769 | 2020-10-12T12:02:38.937+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||||
| 550213 | 24435480 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2006 | 34.4 | 34.4124 | 29.61827 | 39.82398 | 2020-10-12T12:02:38.953+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||||
| 550214 | 24435481 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2007 | 33.3 | 33.2795 | 28.59372 | 38.36419 | 2020-10-12T12:02:38.983+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||||
| 550215 | 24435482 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2008 | 32.1 | 32.11366 | 27.80898 | 36.94061 | 2020-10-12T12:02:39+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||||
| 550216 | 24435483 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2009 | 30.8 | 30.82405 | 26.80759 | 35.36699 | 2020-10-12T12:02:39.03+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||||
| 550217 | 24435484 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2010 | 29.7 | 29.65639 | 25.97093 | 33.98412 | 2020-10-12T12:02:39.063+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||||
| 550218 | 24435485 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2011 | 28.8 | 28.79159 | 25.1777 | 32.73977 | 2020-10-12T12:02:39.08+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||||
| 550219 | 24435486 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2012 | 28.2 | 28.18036 | 24.7738 | 32.06911 | 2020-10-12T12:02:39.11+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||||
| 550220 | 24435487 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2013 | 27.9 | 27.91156 | 24.40883 | 31.78757 | 2020-10-12T12:02:39.127+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||||
| 550221 | 24435488 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2014 | 27.6 | 27.62674 | 24.07616 | 31.64185 | 2020-10-12T12:02:39.16+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||||
| 550222 | 24435489 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2015 | 27 | 26.96289 | 23.33311 | 31.20494 | 2020-10-12T12:02:39.173+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||||
| 550223 | 24435490 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2016 | 26.4 | 26.36471 | 22.59079 | 30.70853 | 2020-10-12T12:02:39.207+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||||
| 550224 | 24435491 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2017 | 25.7 | 25.74755 | 21.7641 | 30.24418 | 2020-10-12T12:02:39.22+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||||
| 550225 | 24435492 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2018 | 25 | 25.03614 | 20.87786 | 30.04558 | 2020-10-12T12:02:39.237+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||||
| 550226 | 24435493 | WHOSIS_000014 | COUNTRY | BGD | YEAR | 2019 | 24.3 | 24.28319 | 19.87335 | 29.57829 | 2020-10-12T12:02:39.267+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. Бангладеш
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Мужчины | 49'097 | 51'729 | 54'671 | 57'738 | 61'106 | 64'616 | 68'475 | 77'300 | 88'276 | 101'324 | 116'462 | 133'010 | 150'891 | 170'270 | 191'118 | 212'727 | 234'952 | 257'669 |
| Женщины | 40'699 | 43'136 | 45'725 | 48'571 | 51'527 | 54'750 | 58'142 | 65'907 | 75'229 | 86'859 | 100'386 | 115'666 | 132'407 | 150'484 | 169'911 | 190'400 | 211'862 | 233'421 |
| Оба пола | 89'796 | 94'865 | 100'396 | 106'309 | 112'633 | 119'366 | 126'617 | 143'207 | 163'505 | 188'183 | 216'848 | 248'676 | 283'298 | 320'754 | 361'029 | 403'127 | 446'814 | 491'090 |
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 556623 | 24189682 | CM_01 | COUNTRY | BGD | YEAR | 1991 | SEX | BTSX | 491090 | 491090 | 476586 | 505814 | 2020-09-22T13:22:48.57+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 556624 | 24189683 | CM_01 | COUNTRY | BGD | YEAR | 1992 | SEX | BTSX | 469004 | 469004 | 454870 | 483366 | 2020-09-22T13:22:48.587+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 556625 | 24189684 | CM_01 | COUNTRY | BGD | YEAR | 1993 | SEX | BTSX | 446814 | 446814 | 433163 | 460729 | 2020-09-22T13:22:48.617+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 556626 | 24189685 | CM_01 | COUNTRY | BGD | YEAR | 1994 | SEX | BTSX | 424771 | 424771 | 411619 | 438134 | 2020-09-22T13:22:48.633+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 556627 | 24189686 | CM_01 | COUNTRY | BGD | YEAR | 1995 | SEX | BTSX | 403127 | 403127 | 390557 | 415916 | 2020-09-22T13:22:48.65+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 556628 | 24189687 | CM_01 | COUNTRY | BGD | YEAR | 1996 | SEX | BTSX | 381865 | 381865 | 370134 | 394193 | 2020-09-22T13:22:48.68+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 556629 | 24189688 | CM_01 | COUNTRY | BGD | YEAR | 1997 | SEX | BTSX | 361029 | 361029 | 349669 | 372610 | 2020-09-22T13:22:48.743+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 556630 | 24189689 | CM_01 | COUNTRY | BGD | YEAR | 1998 | SEX | BTSX | 340647 | 340647 | 329604 | 351445 | 2020-09-22T13:22:48.837+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 556631 | 24189690 | CM_01 | COUNTRY | BGD | YEAR | 1999 | SEX | BTSX | 320754 | 320754 | 310382 | 330994 | 2020-09-22T13:22:48.9+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 556632 | 24189691 | CM_01 | COUNTRY | BGD | YEAR | 2000 | SEX | BTSX | 301684 | 301684 | 291812 | 311531 | 2020-09-22T13:22:48.993+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 556633 | 24189692 | CM_01 | COUNTRY | BGD | YEAR | 2001 | SEX | BTSX | 283298 | 283298 | 273926 | 292759 | 2020-09-22T13:22:49.07+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 556634 | 24189693 | CM_01 | COUNTRY | BGD | YEAR | 2002 | SEX | BTSX | 265619 | 265619 | 256717 | 274622 | 2020-09-22T13:22:49.117+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 556635 | 24189694 | CM_01 | COUNTRY | BGD | YEAR | 2003 | SEX | BTSX | 248676 | 248676 | 240367 | 257185 | 2020-09-22T13:22:49.133+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 556636 | 24189695 | CM_01 | COUNTRY | BGD | YEAR | 2004 | SEX | BTSX | 232418 | 232418 | 224485 | 240516 | 2020-09-22T13:22:49.18+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 556637 | 24189696 | CM_01 | COUNTRY | BGD | YEAR | 2005 | SEX | BTSX | 216848 | 216848 | 209379 | 224420 | 2020-09-22T13:22:49.227+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 556638 | 24189697 | CM_01 | COUNTRY | BGD | YEAR | 2006 | SEX | BTSX | 202050 | 202050 | 195060 | 209290 | 2020-09-22T13:22:49.243+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 556639 | 24189698 | CM_01 | COUNTRY | BGD | YEAR | 2007 | SEX | BTSX | 188183 | 188183 | 181391 | 195019 | 2020-09-22T13:22:49.273+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 556640 | 24189699 | CM_01 | COUNTRY | BGD | YEAR | 2008 | SEX | BTSX | 175312 | 175312 | 168884 | 181855 | 2020-09-22T13:22:49.303+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 556641 | 24189700 | CM_01 | COUNTRY | BGD | YEAR | 2009 | SEX | BTSX | 163505 | 163505 | 157382 | 169758 | 2020-09-22T13:22:49.32+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 556642 | 24189701 | CM_01 | COUNTRY | BGD | YEAR | 2010 | SEX | BTSX | 152809 | 152809 | 147000 | 158756 | 2020-09-22T13:22:49.337+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 556643 | 24189702 | CM_01 | COUNTRY | BGD | YEAR | 2011 | SEX | BTSX | 143207 | 143207 | 137659 | 148887 | 2020-09-22T13:22:49.367+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 556644 | 24189703 | CM_01 | COUNTRY | BGD | YEAR | 2012 | SEX | BTSX | 134536 | 134536 | 129123 | 140068 | 2020-09-22T13:22:49.413+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 556645 | 24189704 | CM_01 | COUNTRY | BGD | YEAR | 2013 | SEX | BTSX | 126617 | 126617 | 121373 | 132061 | 2020-09-22T13:22:49.447+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 556646 | 24189705 | CM_01 | COUNTRY | BGD | YEAR | 2014 | SEX | BTSX | 119366 | 119366 | 114079 | 125039 | 2020-09-22T13:22:49.46+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 556647 | 24189706 | CM_01 | COUNTRY | BGD | YEAR | 2015 | SEX | BTSX | 112633 | 112633 | 107153 | 118536 | 2020-09-22T13:22:49.477+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 556648 | 24189707 | CM_01 | COUNTRY | BGD | YEAR | 2016 | SEX | BTSX | 106309 | 106309 | 100400 | 112695 | 2020-09-22T13:22:49.507+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 556649 | 24189708 | CM_01 | COUNTRY | BGD | YEAR | 2017 | SEX | BTSX | 100396 | 100396 | 93894 | 107470 | 2020-09-22T13:22:49.57+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 556650 | 24189709 | CM_01 | COUNTRY | BGD | YEAR | 2018 | SEX | BTSX | 94865 | 94865 | 87543 | 102891 | 2020-09-22T13:22:49.6+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 556651 | 24189710 | CM_01 | COUNTRY | BGD | YEAR | 2019 | SEX | BTSX | 89796 | 89796 | 81574 | 98812 | 2020-09-22T13:22:49.633+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 556688 | 24189747 | CM_01 | COUNTRY | BGD | YEAR | 1991 | SEX | FMLE | 233421 | 233421 | 226000 | 241097 | 2020-09-22T13:22:50.477+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 556689 | 24189748 | CM_01 | COUNTRY | BGD | YEAR | 1992 | SEX | FMLE | 222669 | 222669 | 215516 | 230054 | 2020-09-22T13:22:50.507+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 556690 | 24189749 | CM_01 | COUNTRY | BGD | YEAR | 1993 | SEX | FMLE | 211862 | 211862 | 204979 | 218920 | 2020-09-22T13:22:50.523+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 556691 | 24189750 | CM_01 | COUNTRY | BGD | YEAR | 1994 | SEX | FMLE | 201107 | 201107 | 194435 | 207903 | 2020-09-22T13:22:50.553+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 556692 | 24189751 | CM_01 | COUNTRY | BGD | YEAR | 1995 | SEX | FMLE | 190400 | 190400 | 184024 | 196759 | 2020-09-22T13:22:50.57+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 556693 | 24189752 | CM_01 | COUNTRY | BGD | YEAR | 1996 | SEX | FMLE | 179913 | 179913 | 173953 | 186007 | 2020-09-22T13:22:50.6+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 556694 | 24189753 | CM_01 | COUNTRY | BGD | YEAR | 1997 | SEX | FMLE | 169911 | 169911 | 164235 | 175701 | 2020-09-22T13:22:50.68+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 556695 | 24189754 | CM_01 | COUNTRY | BGD | YEAR | 1998 | SEX | FMLE | 160069 | 160069 | 154592 | 165580 | 2020-09-22T13:22:50.747+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 556696 | 24189755 | CM_01 | COUNTRY | BGD | YEAR | 1999 | SEX | FMLE | 150484 | 150484 | 145284 | 155737 | 2020-09-22T13:22:50.76+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 556697 | 24189756 | CM_01 | COUNTRY | BGD | YEAR | 2000 | SEX | FMLE | 141239 | 141239 | 136176 | 146222 | 2020-09-22T13:22:50.79+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 556698 | 24189757 | CM_01 | COUNTRY | BGD | YEAR | 2001 | SEX | FMLE | 132407 | 132407 | 127696 | 137120 | 2020-09-22T13:22:50.82+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 556699 | 24189758 | CM_01 | COUNTRY | BGD | YEAR | 2002 | SEX | FMLE | 123795 | 123795 | 119344 | 128266 | 2020-09-22T13:22:50.837+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 556700 | 24189759 | CM_01 | COUNTRY | BGD | YEAR | 2003 | SEX | FMLE | 115666 | 115666 | 111446 | 119871 | 2020-09-22T13:22:50.883+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 556701 | 24189760 | CM_01 | COUNTRY | BGD | YEAR | 2004 | SEX | FMLE | 107866 | 107866 | 103869 | 111924 | 2020-09-22T13:22:50.963+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 556702 | 24189761 | CM_01 | COUNTRY | BGD | YEAR | 2005 | SEX | FMLE | 100386 | 100386 | 96650 | 104203 | 2020-09-22T13:22:50.977+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 556703 | 24189762 | CM_01 | COUNTRY | BGD | YEAR | 2006 | SEX | FMLE | 93374 | 93374 | 89875 | 96960 | 2020-09-22T13:22:51.007+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 556704 | 24189763 | CM_01 | COUNTRY | BGD | YEAR | 2007 | SEX | FMLE | 86859 | 86859 | 83547 | 90277 | 2020-09-22T13:22:51.04+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 556705 | 24189764 | CM_01 | COUNTRY | BGD | YEAR | 2008 | SEX | FMLE | 80732 | 80732 | 77567 | 83975 | 2020-09-22T13:22:51.053+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 556706 | 24189765 | CM_01 | COUNTRY | BGD | YEAR | 2009 | SEX | FMLE | 75229 | 75229 | 72230 | 78314 | 2020-09-22T13:22:51.07+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 556707 | 24189766 | CM_01 | COUNTRY | BGD | YEAR | 2010 | SEX | FMLE | 70379 | 70379 | 67515 | 73338 | 2020-09-22T13:22:51.1+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 556708 | 24189767 | CM_01 | COUNTRY | BGD | YEAR | 2011 | SEX | FMLE | 65907 | 65907 | 63200 | 68781 | 2020-09-22T13:22:51.117+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 556709 | 24189768 | CM_01 | COUNTRY | BGD | YEAR | 2012 | SEX | FMLE | 61852 | 61852 | 59233 | 64605 | 2020-09-22T13:22:51.15+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 556710 | 24189769 | CM_01 | COUNTRY | BGD | YEAR | 2013 | SEX | FMLE | 58142 | 58142 | 55556 | 60885 | 2020-09-22T13:22:51.18+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 556711 | 24189770 | CM_01 | COUNTRY | BGD | YEAR | 2014 | SEX | FMLE | 54750 | 54750 | 52154 | 57509 | 2020-09-22T13:22:51.197+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 556712 | 24189771 | CM_01 | COUNTRY | BGD | YEAR | 2015 | SEX | FMLE | 51527 | 51527 | 48847 | 54350 | 2020-09-22T13:22:51.21+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 556713 | 24189772 | CM_01 | COUNTRY | BGD | YEAR | 2016 | SEX | FMLE | 48571 | 48571 | 45697 | 51575 | 2020-09-22T13:22:51.273+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 556714 | 24189773 | CM_01 | COUNTRY | BGD | YEAR | 2017 | SEX | FMLE | 45725 | 45725 | 42569 | 49043 | 2020-09-22T13:22:51.303+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 556715 | 24189774 | CM_01 | COUNTRY | BGD | YEAR | 2018 | SEX | FMLE | 43136 | 43136 | 39642 | 46888 | 2020-09-22T13:22:51.32+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 556716 | 24189775 | CM_01 | COUNTRY | BGD | YEAR | 2019 | SEX | FMLE | 40699 | 40699 | 36867 | 44893 | 2020-09-22T13:22:51.35+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 556753 | 24189812 | CM_01 | COUNTRY | BGD | YEAR | 1991 | SEX | MLE | 257669 | 257669 | 249373 | 265953 | 2020-09-22T13:22:52.243+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 556754 | 24189813 | CM_01 | COUNTRY | BGD | YEAR | 1992 | SEX | MLE | 246335 | 246335 | 238291 | 254363 | 2020-09-22T13:22:52.273+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 556755 | 24189814 | CM_01 | COUNTRY | BGD | YEAR | 1993 | SEX | MLE | 234952 | 234952 | 227147 | 242711 | 2020-09-22T13:22:52.303+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 556756 | 24189815 | CM_01 | COUNTRY | BGD | YEAR | 1994 | SEX | MLE | 223664 | 223664 | 216227 | 231196 | 2020-09-22T13:22:52.337+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 556757 | 24189816 | CM_01 | COUNTRY | BGD | YEAR | 1995 | SEX | MLE | 212727 | 212727 | 205512 | 219918 | 2020-09-22T13:22:52.367+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 556758 | 24189817 | CM_01 | COUNTRY | BGD | YEAR | 1996 | SEX | MLE | 201952 | 201952 | 195105 | 208905 | 2020-09-22T13:22:52.413+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 556759 | 24189818 | CM_01 | COUNTRY | BGD | YEAR | 1997 | SEX | MLE | 191118 | 191118 | 184557 | 197684 | 2020-09-22T13:22:52.447+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 556760 | 24189819 | CM_01 | COUNTRY | BGD | YEAR | 1998 | SEX | MLE | 180578 | 180578 | 174235 | 186656 | 2020-09-22T13:22:52.46+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 556761 | 24189820 | CM_01 | COUNTRY | BGD | YEAR | 1999 | SEX | MLE | 170270 | 170270 | 164337 | 176101 | 2020-09-22T13:22:52.493+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 556762 | 24189821 | CM_01 | COUNTRY | BGD | YEAR | 2000 | SEX | MLE | 160445 | 160445 | 154894 | 165913 | 2020-09-22T13:22:52.523+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 556763 | 24189822 | CM_01 | COUNTRY | BGD | YEAR | 2001 | SEX | MLE | 150891 | 150891 | 145721 | 156133 | 2020-09-22T13:22:52.54+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 556764 | 24189823 | CM_01 | COUNTRY | BGD | YEAR | 2002 | SEX | MLE | 141824 | 141824 | 136889 | 146861 | 2020-09-22T13:22:52.57+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 556765 | 24189824 | CM_01 | COUNTRY | BGD | YEAR | 2003 | SEX | MLE | 133010 | 133010 | 128331 | 137795 | 2020-09-22T13:22:52.587+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 556766 | 24189825 | CM_01 | COUNTRY | BGD | YEAR | 2004 | SEX | MLE | 124552 | 124552 | 119979 | 129091 | 2020-09-22T13:22:52.617+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 556767 | 24189826 | CM_01 | COUNTRY | BGD | YEAR | 2005 | SEX | MLE | 116462 | 116462 | 112176 | 120831 | 2020-09-22T13:22:52.633+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 556768 | 24189827 | CM_01 | COUNTRY | BGD | YEAR | 2006 | SEX | MLE | 108676 | 108676 | 104594 | 112792 | 2020-09-22T13:22:52.663+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 556769 | 24189828 | CM_01 | COUNTRY | BGD | YEAR | 2007 | SEX | MLE | 101324 | 101324 | 97393 | 105243 | 2020-09-22T13:22:52.68+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 556770 | 24189829 | CM_01 | COUNTRY | BGD | YEAR | 2008 | SEX | MLE | 94580 | 94580 | 90876 | 98288 | 2020-09-22T13:22:52.71+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 556771 | 24189830 | CM_01 | COUNTRY | BGD | YEAR | 2009 | SEX | MLE | 88276 | 88276 | 84774 | 91831 | 2020-09-22T13:22:52.727+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 556772 | 24189831 | CM_01 | COUNTRY | BGD | YEAR | 2010 | SEX | MLE | 82430 | 82430 | 79103 | 85839 | 2020-09-22T13:22:52.757+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 556773 | 24189832 | CM_01 | COUNTRY | BGD | YEAR | 2011 | SEX | MLE | 77300 | 77300 | 74127 | 80542 | 2020-09-22T13:22:52.79+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 556774 | 24189833 | CM_01 | COUNTRY | BGD | YEAR | 2012 | SEX | MLE | 72684 | 72684 | 69602 | 75814 | 2020-09-22T13:22:52.803+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 556775 | 24189834 | CM_01 | COUNTRY | BGD | YEAR | 2013 | SEX | MLE | 68475 | 68475 | 65484 | 71564 | 2020-09-22T13:22:52.837+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 556776 | 24189835 | CM_01 | COUNTRY | BGD | YEAR | 2014 | SEX | MLE | 64616 | 64616 | 61601 | 67793 | 2020-09-22T13:22:52.85+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 556777 | 24189836 | CM_01 | COUNTRY | BGD | YEAR | 2015 | SEX | MLE | 61106 | 61106 | 57968 | 64419 | 2020-09-22T13:22:52.883+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 556778 | 24189837 | CM_01 | COUNTRY | BGD | YEAR | 2016 | SEX | MLE | 57738 | 57738 | 54458 | 61349 | 2020-09-22T13:22:52.9+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 556779 | 24189838 | CM_01 | COUNTRY | BGD | YEAR | 2017 | SEX | MLE | 54671 | 54671 | 51006 | 58679 | 2020-09-22T13:22:52.93+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 556780 | 24189839 | CM_01 | COUNTRY | BGD | YEAR | 2018 | SEX | MLE | 51729 | 51729 | 47615 | 56192 | 2020-09-22T13:22:52.947+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 556781 | 24189840 | CM_01 | COUNTRY | BGD | YEAR | 2019 | SEX | MLE | 49097 | 49097 | 44459 | 54163 | 2020-09-22T13:22:52.977+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. Бангладеш
| 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2011 | 2009 | 2007 | 2005 | 2003 | 2001 | 1999 | 1997 | 1995 | 1993 | 1991 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Мужчины | 32.9 | 34.4 | 36.1 | 37.9 | 39.8 | 41.8 | 43.9 | 48.7 | 54.3 | 60.7 | 68 | 76 | 85 | 95.1 | 106.3 | 117.8 | 129.5 | 141.4 |
| Женщины | 28.6 | 30.1 | 31.7 | 33.4 | 35.2 | 37.1 | 39.1 | 43.5 | 48.5 | 54.5 | 61.3 | 69.2 | 78.1 | 88 | 98.9 | 110.4 | 122.2 | 134.1 |
| Оба пола | 30.8 | 32.3 | 33.9 | 35.7 | 37.5 | 39.5 | 41.6 | 46.1 | 51.5 | 57.7 | 64.7 | 72.7 | 81.6 | 91.7 | 102.7 | 114.2 | 126 | 137.9 |
Данные источника (ВОЗ)
| id | originalId | IndicatorCode | SpatialDimType | SpatialDim | TimeDimType | TimeDim | Dim1Type | Dim1 | Dim2Type | Dim2 | Dim3Type | Dim3 | DataSourceDimType | DataSourceDim | Value | NumericValue | Low | High | Comments | Date | TimeDimensionValue | TimeDimensionBegin | TimeDimensionEnd | archive |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 588289 | 24296981 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1991 | SEX | BTSX | 137.9 | 137.86927 | 133.77112 | 142.04388 | 2020-09-22T14:21:11.957+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 588290 | 24296982 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1992 | SEX | BTSX | 131.9 | 131.93112 | 127.92315 | 135.99348 | 2020-09-22T14:21:11.99+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 588291 | 24296983 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1993 | SEX | BTSX | 126 | 125.97936 | 122.11608 | 129.94515 | 2020-09-22T14:21:12.02+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 588292 | 24296984 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1994 | SEX | BTSX | 120 | 120.04941 | 116.30813 | 123.86374 | 2020-09-22T14:21:12.05+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 588293 | 24296985 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1995 | SEX | BTSX | 114.2 | 114.18971 | 110.61177 | 117.83251 | 2020-09-22T14:21:12.083+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 588294 | 24296986 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1996 | SEX | BTSX | 108.4 | 108.39144 | 105.02262 | 111.90264 | 2020-09-22T14:21:12.113+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 588295 | 24296987 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1997 | SEX | BTSX | 102.7 | 102.68116 | 99.43379 | 105.99488 | 2020-09-22T14:21:12.147+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 588296 | 24296988 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1998 | SEX | BTSX | 97.1 | 97.09358 | 93.92319 | 100.18363 | 2020-09-22T14:21:12.177+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 588297 | 24296989 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1999 | SEX | BTSX | 91.7 | 91.6609 | 88.68189 | 94.6027 | 2020-09-22T14:21:12.207+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 588298 | 24296990 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2000 | SEX | BTSX | 86.5 | 86.50244 | 83.65563 | 89.33848 | 2020-09-22T14:21:12.24+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 588299 | 24296991 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2001 | SEX | BTSX | 81.6 | 81.60715 | 78.89105 | 84.33653 | 2020-09-22T14:21:12.253+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 588300 | 24296992 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2002 | SEX | BTSX | 77 | 76.99368 | 74.40164 | 79.61186 | 2020-09-22T14:21:12.287+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 588301 | 24296993 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2003 | SEX | BTSX | 72.7 | 72.66376 | 70.23115 | 75.15993 | 2020-09-22T14:21:12.333+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 588302 | 24296994 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2004 | SEX | BTSX | 68.6 | 68.58452 | 66.24447 | 70.97355 | 2020-09-22T14:21:12.363+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 588303 | 24296995 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2005 | SEX | BTSX | 64.7 | 64.72828 | 62.49732 | 66.98775 | 2020-09-22T14:21:12.397+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 588304 | 24296996 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2006 | SEX | BTSX | 61.1 | 61.08398 | 58.96274 | 63.27889 | 2020-09-22T14:21:12.427+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 588305 | 24296997 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2007 | SEX | BTSX | 57.7 | 57.66209 | 55.58114 | 59.76321 | 2020-09-22T14:21:12.443+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 588306 | 24296998 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2008 | SEX | BTSX | 54.5 | 54.4521 | 52.45439 | 56.48778 | 2020-09-22T14:21:12.473+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 588307 | 24296999 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2009 | SEX | BTSX | 51.5 | 51.45723 | 49.52987 | 53.42672 | 2020-09-22T14:21:12.503+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 588308 | 24297000 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2010 | SEX | BTSX | 48.7 | 48.68552 | 46.83235 | 50.58211 | 2020-09-22T14:21:12.537+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 588309 | 24297001 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2011 | SEX | BTSX | 46.1 | 46.13548 | 44.3507 | 47.96889 | 2020-09-22T14:21:12.583+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 588310 | 24297002 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2012 | SEX | BTSX | 43.8 | 43.77221 | 42.01335 | 45.5741 | 2020-09-22T14:21:12.647+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 588311 | 24297003 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2013 | SEX | BTSX | 41.6 | 41.56151 | 39.83737 | 43.34711 | 2020-09-22T14:21:12.677+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 588312 | 24297004 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2014 | SEX | BTSX | 39.5 | 39.49676 | 37.74672 | 41.37635 | 2020-09-22T14:21:12.707+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 588313 | 24297005 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2015 | SEX | BTSX | 37.5 | 37.5438 | 35.71763 | 39.51195 | 2020-09-22T14:21:12.753+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 588314 | 24297006 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2016 | SEX | BTSX | 35.7 | 35.68094 | 33.70006 | 37.82409 | 2020-09-22T14:21:12.77+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 588315 | 24297007 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2017 | SEX | BTSX | 33.9 | 33.92123 | 31.72019 | 36.31107 | 2020-09-22T14:21:12.8+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 588316 | 24297008 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2018 | SEX | BTSX | 32.3 | 32.26639 | 29.7741 | 34.99455 | 2020-09-22T14:21:12.833+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 588317 | 24297009 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2019 | SEX | BTSX | 30.8 | 30.75386 | 27.93572 | 33.84118 | 2020-09-22T14:21:12.863+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 588359 | 24297051 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1991 | SEX | FMLE | 134.1 | 134.10824 | 129.85039 | 138.55777 | 2020-09-22T14:21:14.193+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 588360 | 24297052 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1992 | SEX | FMLE | 128.2 | 128.18987 | 124.04999 | 132.46607 | 2020-09-22T14:21:14.223+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 588361 | 24297053 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1993 | SEX | FMLE | 122.2 | 122.23317 | 118.26209 | 126.33644 | 2020-09-22T14:21:14.253+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 588362 | 24297054 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1994 | SEX | FMLE | 116.3 | 116.32687 | 112.46006 | 120.28776 | 2020-09-22T14:21:14.287+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 588363 | 24297055 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1995 | SEX | FMLE | 110.4 | 110.39569 | 106.67445 | 114.09696 | 2020-09-22T14:21:14.317+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 588364 | 24297056 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1996 | SEX | FMLE | 104.5 | 104.53514 | 101.07741 | 108.09348 | 2020-09-22T14:21:14.35+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 588365 | 24297057 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1997 | SEX | FMLE | 98.9 | 98.92987 | 95.60036 | 102.31037 | 2020-09-22T14:21:14.38+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 588366 | 24297058 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1998 | SEX | FMLE | 93.4 | 93.38533 | 90.1964 | 96.64369 | 2020-09-22T14:21:14.41+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 588367 | 24297059 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1999 | SEX | FMLE | 88 | 88.03976 | 84.98256 | 91.11724 | 2020-09-22T14:21:14.457+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 588368 | 24297060 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2000 | SEX | FMLE | 82.9 | 82.90093 | 79.94535 | 85.84305 | 2020-09-22T14:21:14.49+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 588369 | 24297061 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2001 | SEX | FMLE | 78.1 | 78.0777 | 75.29796 | 80.87944 | 2020-09-22T14:21:14.52+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 588370 | 24297062 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2002 | SEX | FMLE | 73.5 | 73.46659 | 70.81133 | 76.13305 | 2020-09-22T14:21:14.537+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 588371 | 24297063 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2003 | SEX | FMLE | 69.2 | 69.19294 | 66.66232 | 71.71095 | 2020-09-22T14:21:14.567+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 588372 | 24297064 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2004 | SEX | FMLE | 65.2 | 65.16015 | 62.74279 | 67.6176 | 2020-09-22T14:21:14.6+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 588373 | 24297065 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2005 | SEX | FMLE | 61.3 | 61.33744 | 59.06157 | 63.68726 | 2020-09-22T14:21:14.63+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 588374 | 24297066 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2006 | SEX | FMLE | 57.8 | 57.78575 | 55.61906 | 60.01885 | 2020-09-22T14:21:14.66+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 588375 | 24297067 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2007 | SEX | FMLE | 54.5 | 54.47552 | 52.4057 | 56.63518 | 2020-09-22T14:21:14.693+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 588376 | 24297068 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2008 | SEX | FMLE | 51.3 | 51.33185 | 49.32308 | 53.40241 | 2020-09-22T14:21:14.723+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 588377 | 24297069 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2009 | SEX | FMLE | 48.5 | 48.47202 | 46.53786 | 50.46799 | 2020-09-22T14:21:14.753+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 588378 | 24297070 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2010 | SEX | FMLE | 45.9 | 45.92048 | 44.04628 | 47.84084 | 2020-09-22T14:21:14.787+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 588379 | 24297071 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2011 | SEX | FMLE | 43.5 | 43.48589 | 41.69267 | 45.38187 | 2020-09-22T14:21:14.817+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 588380 | 24297072 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2012 | SEX | FMLE | 41.2 | 41.21325 | 39.46722 | 43.04882 | 2020-09-22T14:21:14.85+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 588381 | 24297073 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2013 | SEX | FMLE | 39.1 | 39.0839 | 37.34692 | 40.93535 | 2020-09-22T14:21:14.863+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 588382 | 24297074 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2014 | SEX | FMLE | 37.1 | 37.10316 | 35.34616 | 38.97967 | 2020-09-22T14:21:14.897+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 588383 | 24297075 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2015 | SEX | FMLE | 35.2 | 35.17555 | 33.35278 | 37.11129 | 2020-09-22T14:21:14.927+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 588384 | 24297076 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2016 | SEX | FMLE | 33.4 | 33.39212 | 31.41288 | 35.45891 | 2020-09-22T14:21:14.957+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 588385 | 24297077 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2017 | SEX | FMLE | 31.7 | 31.65463 | 29.46364 | 33.94394 | 2020-09-22T14:21:14.99+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 588386 | 24297078 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2018 | SEX | FMLE | 30.1 | 30.05641 | 27.6261 | 32.67005 | 2020-09-22T14:21:15.02+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 588387 | 24297079 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2019 | SEX | FMLE | 28.6 | 28.55846 | 25.86533 | 31.50087 | 2020-09-22T14:21:15.05+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 | |||||||
| 588429 | 24297121 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1991 | SEX | MLE | 141.4 | 141.4315 | 136.86641 | 146.02394 | 2020-09-22T14:21:16.38+02:00 | 1991 | 1991-01-01T00:00:00+01:00 | 1991-12-31T00:00:00+01:00 | 0 | |||||||
| 588430 | 24297122 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1992 | SEX | MLE | 135.5 | 135.49446 | 131.04589 | 139.96599 | 2020-09-22T14:21:16.427+02:00 | 1992 | 1992-01-01T00:00:00+01:00 | 1992-12-31T00:00:00+01:00 | 0 | |||||||
| 588431 | 24297123 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1993 | SEX | MLE | 129.5 | 129.51001 | 125.20422 | 133.85107 | 2020-09-22T14:21:16.443+02:00 | 1993 | 1993-01-01T00:00:00+01:00 | 1993-12-31T00:00:00+01:00 | 0 | |||||||
| 588432 | 24297124 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1994 | SEX | MLE | 123.6 | 123.59517 | 119.44318 | 127.80627 | 2020-09-22T14:21:16.473+02:00 | 1994 | 1994-01-01T00:00:00+01:00 | 1994-12-31T00:00:00+01:00 | 0 | |||||||
| 588433 | 24297125 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1995 | SEX | MLE | 117.8 | 117.81123 | 113.78275 | 121.81224 | 2020-09-22T14:21:16.503+02:00 | 1995 | 1995-01-01T00:00:00+01:00 | 1995-12-31T00:00:00+01:00 | 0 | |||||||
| 588434 | 24297126 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1996 | SEX | MLE | 112.1 | 112.06206 | 108.23692 | 115.94953 | 2020-09-22T14:21:16.537+02:00 | 1996 | 1996-01-01T00:00:00+01:00 | 1996-12-31T00:00:00+01:00 | 0 | |||||||
| 588435 | 24297127 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1997 | SEX | MLE | 106.3 | 106.2691 | 102.60795 | 109.93454 | 2020-09-22T14:21:16.55+02:00 | 1997 | 1997-01-01T00:00:00+01:00 | 1997-12-31T00:00:00+01:00 | 0 | |||||||
| 588436 | 24297128 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1998 | SEX | MLE | 100.6 | 100.60114 | 97.06758 | 104.01388 | 2020-09-22T14:21:16.6+02:00 | 1998 | 1998-01-01T00:00:00+01:00 | 1998-12-31T00:00:00+01:00 | 0 | |||||||
| 588437 | 24297129 | MDG_0000000007 | COUNTRY | BGD | YEAR | 1999 | SEX | MLE | 95.1 | 95.12091 | 91.77923 | 98.40615 | 2020-09-22T14:21:16.63+02:00 | 1999 | 1999-01-01T00:00:00+01:00 | 1999-12-31T00:00:00+01:00 | 0 | |||||||
| 588438 | 24297130 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2000 | SEX | MLE | 89.9 | 89.92006 | 86.80124 | 93.01533 | 2020-09-22T14:21:16.707+02:00 | 2000 | 2000-01-01T00:00:00+01:00 | 2000-12-31T00:00:00+01:00 | 0 | |||||||
| 588439 | 24297131 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2001 | SEX | MLE | 85 | 84.95781 | 82.0388 | 87.93282 | 2020-09-22T14:21:16.74+02:00 | 2001 | 2001-01-01T00:00:00+01:00 | 2001-12-31T00:00:00+01:00 | 0 | |||||||
| 588440 | 24297132 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2002 | SEX | MLE | 80.4 | 80.36367 | 77.5427 | 83.23099 | 2020-09-22T14:21:16.753+02:00 | 2002 | 2002-01-01T00:00:00+01:00 | 2002-12-31T00:00:00+01:00 | 0 | |||||||
| 588441 | 24297133 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2003 | SEX | MLE | 76 | 75.97844 | 73.29743 | 78.72355 | 2020-09-22T14:21:16.8+02:00 | 2003 | 2003-01-01T00:00:00+01:00 | 2003-12-31T00:00:00+01:00 | 0 | |||||||
| 588442 | 24297134 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2004 | SEX | MLE | 71.8 | 71.84783 | 69.20905 | 74.47693 | 2020-09-22T14:21:16.833+02:00 | 2004 | 2004-01-01T00:00:00+01:00 | 2004-12-31T00:00:00+01:00 | 0 | |||||||
| 588443 | 24297135 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2005 | SEX | MLE | 68 | 67.95238 | 65.44557 | 70.51271 | 2020-09-22T14:21:16.863+02:00 | 2005 | 2005-01-01T00:00:00+01:00 | 2005-12-31T00:00:00+01:00 | 0 | |||||||
| 588444 | 24297136 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2006 | SEX | MLE | 64.2 | 64.22411 | 61.8175 | 66.6641 | 2020-09-22T14:21:16.88+02:00 | 2006 | 2006-01-01T00:00:00+01:00 | 2006-12-31T00:00:00+01:00 | 0 | |||||||
| 588445 | 24297137 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2007 | SEX | MLE | 60.7 | 60.68084 | 58.33291 | 63.05265 | 2020-09-22T14:21:16.91+02:00 | 2007 | 2007-01-01T00:00:00+01:00 | 2007-12-31T00:00:00+01:00 | 0 | |||||||
| 588446 | 24297138 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2008 | SEX | MLE | 57.4 | 57.4161 | 55.1667 | 59.6796 | 2020-09-22T14:21:16.943+02:00 | 2008 | 2008-01-01T00:00:00+01:00 | 2008-12-31T00:00:00+01:00 | 0 | |||||||
| 588447 | 24297139 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2009 | SEX | MLE | 54.3 | 54.29816 | 52.14508 | 56.49468 | 2020-09-22T14:21:16.957+02:00 | 2009 | 2009-01-01T00:00:00+01:00 | 2009-12-31T00:00:00+01:00 | 0 | |||||||
| 588448 | 24297140 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2010 | SEX | MLE | 51.3 | 51.33768 | 49.25748 | 53.45705 | 2020-09-22T14:21:16.99+02:00 | 2010 | 2010-01-01T00:00:00+01:00 | 2010-12-31T00:00:00+01:00 | 0 | |||||||
| 588449 | 24297141 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2011 | SEX | MLE | 48.7 | 48.67546 | 46.66039 | 50.70892 | 2020-09-22T14:21:17.02+02:00 | 2011 | 2011-01-01T00:00:00+01:00 | 2011-12-31T00:00:00+01:00 | 0 | |||||||
| 588450 | 24297142 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2012 | SEX | MLE | 46.2 | 46.21208 | 44.25106 | 48.20628 | 2020-09-22T14:21:17.05+02:00 | 2012 | 2012-01-01T00:00:00+01:00 | 2012-12-31T00:00:00+01:00 | 0 | |||||||
| 588451 | 24297143 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2013 | SEX | MLE | 43.9 | 43.91417 | 41.99887 | 45.90459 | 2020-09-22T14:21:17.067+02:00 | 2013 | 2013-01-01T00:00:00+01:00 | 2013-12-31T00:00:00+01:00 | 0 | |||||||
| 588452 | 24297144 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2014 | SEX | MLE | 41.8 | 41.77198 | 39.82258 | 43.83217 | 2020-09-22T14:21:17.1+02:00 | 2014 | 2014-01-01T00:00:00+01:00 | 2014-12-31T00:00:00+01:00 | 0 | |||||||
| 588453 | 24297145 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2015 | SEX | MLE | 39.8 | 39.78882 | 37.75698 | 41.9543 | 2020-09-22T14:21:17.13+02:00 | 2015 | 2015-01-01T00:00:00+01:00 | 2015-12-31T00:00:00+01:00 | 0 | |||||||
| 588454 | 24297146 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2016 | SEX | MLE | 37.9 | 37.85952 | 35.70831 | 40.23247 | 2020-09-22T14:21:17.147+02:00 | 2016 | 2016-01-01T00:00:00+01:00 | 2016-12-31T00:00:00+01:00 | 0 | |||||||
| 588455 | 24297147 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2017 | SEX | MLE | 36.1 | 36.09398 | 33.66862 | 38.73916 | 2020-09-22T14:21:17.177+02:00 | 2017 | 2017-01-01T00:00:00+01:00 | 2017-12-31T00:00:00+01:00 | 0 | |||||||
| 588456 | 24297148 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2018 | SEX | MLE | 34.4 | 34.3744 | 31.64051 | 37.3387 | 2020-09-22T14:21:17.193+02:00 | 2018 | 2018-01-01T00:00:00+01:00 | 2018-12-31T00:00:00+01:00 | 0 | |||||||
| 588457 | 24297149 | MDG_0000000007 | COUNTRY | BGD | YEAR | 2019 | SEX | MLE | 32.9 | 32.85361 | 29.74602 | 36.24111 | 2020-09-22T14:21:17.223+02:00 | 2019 | 2019-01-01T00:00:00+01:00 | 2019-12-31T00:00:00+01:00 | 0 |
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