id,name,unit,description,createdAt,updatedAt,code,coverage,timespan,datasetId,sourceId,shortUnit,display,columnOrder,originalMetadata,grapherConfigAdmin,shortName,catalogPath,dimensions,schemaVersion,processingLevel,processingLog,titlePublic,titleVariant,attributionShort,attribution,descriptionShort,descriptionFromProducer,descriptionKey,descriptionProcessing,licenses,license,grapherConfigETL,type,sort,dataChecksum,metadataChecksum
959833,Maternal mortality rate,"deaths per 100,000 women",,2024-07-29 15:05:54,2024-07-31 12:58:56,,,1751-2020,6643,,,"{""unit"": ""deaths per 100,000 women"", ""numDecimalPlaces"": 1}",0,,,mm_rate,grapher/maternal_mortality/2024-07-08/maternal_mortality/maternal_mortality#mm_rate,,2,major,,,,,,"The estimated number of women who die from [maternal conditions](#dod:maternal-mortality) per 100,000 women of reproductive age (15-49), based on data from death certificates, large-scale surveys, and statistical modeling.","Data on maternal mortality and other relevant variables are obtained through databases maintained by WHO, UNPD, UNICEF, and the World Bank Group. Data available from countries varies in terms of the source and methods.

Given the variability of the sources of data, different methods are used for each data source in order to arrive at country estimates that are comparable and permit regional and global aggregation.

The current methodology employed by the Maternal Mortality Estimation Inter-Agency Group (MMEIG) in this round
followed an improved approach that built directly upon methods used to produce the previous
rounds of estimates published by the MMEIG since 2008.

Estimates for this round were generated using a Bayesian approach, referred to as the Bayesian maternal mortality estimation model, or BMat model.
This enhanced methodology uses the same core estimation method as in those previous rounds, but adds refinements to optimize the use of country-specific data sources and excludes late maternal deaths.
It therefore provides more accurate estimates, and a more realistic assessment of certainty about those estimates.

The new model still incorporates the same covariates which are;
- the Gross Domestic Product per capita based on purchasing power parity conversion (GDP),
- the general fertility rate (GFR)
- proportion of births attended by a skilled health worker (SAB).

The MMEIG has developed a method to adjust existing data in order to take into account these data quality issues and ensure the comparability of different data sources.
This method involves assessment of data for underreporting and, where necessary, adjustment for incompleteness and misclassification of deaths as well as development of estimates through statistical modelling for countries with no reliable national level data.","[""Maternal deaths are defined as a death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of pregnancy,\nfrom any cause related or aggravated by the pregnancy or its management, but not from accidental or incidental causes.""]","- The dataset combines three sources: WHO Mortality Database (before 1985), Gapminder (before 1985, if WHO Mortality Database data are unavailable), UN MMEIG (1985 onwards).
  The WHO Mortality Database and Gapminder contain reported figures from countries, and are likely to underestimate the true maternal mortality figures. The UN MMEIG aims to estimates the true rate, by adjusting for underreporting and misclassification. Sudden jumps in mortality rate in 1985 are a consequence of switching data sources (from reported to estimated figures).
- For the years between 1950 - 1985 we calculated the maternal mortality ratio and maternal mortality rate based
  on the number of maternal deaths from the WHO mortality database and live births and female population of reproductive age from the UN WPP.
- Where the reported maternal deaths in the WHO Mortality Database differed significantly from the estimated figures in the UN MMEIG data, we opted not to include them.
- Where a data point is attached to a range of years in the Gapminder data set, we used the midpoint of the range.
- The UN MMEIG data shown (post 1985) is the point estimate - this means there is a 50% chance that the true measure lies above this point,
  and a 50% chance that the true value lies below this point.
- We calculated regional aggregates by summing the maternal deaths and live births of all countries in the region and then calculating the MMR based on these figures.",,,"{""note"": ""Prior to 1985, only reported data are available, which are likely to underestimate the true maternal mortality rate. From 1985, estimates are shown, which aim to adjust for underreporting and misclassification.""}",float,[],73f3f93ea649cb71b605e60ae86b928e,404f07c9713ac24ec699e90056f4a137
959832,Live births,births,,2024-07-29 15:05:54,2024-07-31 12:58:55,,,1751-2020,6643,,,"{""unit"": ""births"", ""numDecimalPlaces"": 0}",0,,,live_births,grapher/maternal_mortality/2024-07-08/maternal_mortality/maternal_mortality#live_births,,2,major,,,,,,"The estimated number of births from birth certificates, large-scale surveys and statistical modeling.","- Data on maternal mortality and other relevant variables are obtained through databases maintained by WHO, UNPD, UNICEF, and the World Bank Group. Data available from countries varies in terms of the source and methods.

Given the variability of the sources of data, different methods are used for each data source in order to arrive at country estimates that are comparable and permit regional and global aggregation.

The current methodology employed by the Maternal Mortality Estimation Inter-Agency Group (MMEIG) in this round
followed an improved approach that built directly upon methods used to produce the previous
rounds of estimates published by the MMEIG since 2008.

Estimates for this round were generated using a Bayesian approach, referred to as the Bayesian maternal mortality estimation model, or BMat model.
This enhanced methodology uses the same core estimation method as in those previous rounds, but adds refinements to optimize the use of country-specific data sources and excludes late maternal deaths.
It therefore provides more accurate estimates, and a more realistic assessment of certainty about those estimates.

The new model still incorporates the same covariates which are;
- the Gross Domestic Product per capita based on purchasing power parity conversion (GDP),
- the general fertility rate (GFR)
- proportion of births attended by a skilled health worker (SAB).

The MMEIG has developed a method to adjust existing data in order to take into account these data quality issues and ensure the comparability of different data sources.
This method involves assessment of data for underreporting and, where necessary, adjustment for incompleteness and misclassification of deaths as well as development of estimates through statistical modelling for countries with no reliable national level data.",[],"- The dataset combines three sources: WHO Mortality Database (before 1985), Gapminder (before 1985, if WHO Mortality Database data are unavailable), UN MMEIG (1985 onwards).
  The WHO Mortality Database and Gapminder contain reported figures from countries, and are likely to underestimate the true maternal mortality figures. The UN MMEIG aims to estimates the true rate, by adjusting for underreporting and misclassification. Sudden jumps in mortality rate in 1985 are a consequence of switching data sources (from reported to estimated figures).
- For the years between 1950 - 1985 we calculated the maternal mortality ratio and maternal mortality rate based
  on the number of maternal deaths from the WHO mortality database and live births and female population of reproductive age from the UN WPP.
- Where the reported maternal deaths in the WHO Mortality Database differed significantly from the estimated figures in the UN MMEIG data, we opted not to include them.
- Where a data point is attached to a range of years in the Gapminder data set, we used the midpoint of the range.
- The UN MMEIG data shown (post 1985) is the point estimate - this means there is a 50% chance that the true measure lies above this point,
  and a 50% chance that the true value lies below this point.
- We calculated regional aggregates by summing the maternal deaths and live births of all countries in the region and then calculating the MMR based on these figures.",,,"{""note"": ""Prior to 1985, only reported data are available, which are likely to underestimate the true maternal mortality rate. From 1985, estimates are shown, which aim to adjust for underreporting and misclassification.""}",int,[],a1ba6b150194bcd69bc202e34d04628c,cf6c5c8fc52c5a423bd4a092ed9e3db0
959831,Maternal mortality ratio,"deaths per 100,000 live births",,2024-07-29 15:05:54,2024-07-31 12:58:56,,,1751-2020,6643,,,"{""unit"": ""deaths per 100,000 live births"", ""numDecimalPlaces"": 1}",0,,,mmr,grapher/maternal_mortality/2024-07-08/maternal_mortality/maternal_mortality#mmr,,2,major,,,,,,"The estimated number of women who die from [maternal conditions](#dod:maternal-mortality) per 100,000 live births, based on data from death certificates, large-scale surveys, and statistical modeling.","Data on maternal mortality and other relevant variables are obtained through databases maintained by WHO, UNPD, UNICEF, and the World Bank Group. Data available from countries varies in terms of the source and methods.

Given the variability of the sources of data, different methods are used for each data source in order to arrive at country estimates that are comparable and permit regional and global aggregation.

The current methodology employed by the Maternal Mortality Estimation Inter-Agency Group (MMEIG) in this round
followed an improved approach that built directly upon methods used to produce the previous
rounds of estimates published by the MMEIG since 2008.

Estimates for this round were generated using a Bayesian approach, referred to as the Bayesian maternal mortality estimation model, or BMat model.
This enhanced methodology uses the same core estimation method as in those previous rounds, but adds refinements to optimize the use of country-specific data sources and excludes late maternal deaths.
It therefore provides more accurate estimates, and a more realistic assessment of certainty about those estimates.

The new model still incorporates the same covariates which are;
- the Gross Domestic Product per capita based on purchasing power parity conversion (GDP),
- the general fertility rate (GFR)
- proportion of births attended by a skilled health worker (SAB).

The MMEIG has developed a method to adjust existing data in order to take into account these data quality issues and ensure the comparability of different data sources.
This method involves assessment of data for underreporting and, where necessary, adjustment for incompleteness and misclassification of deaths as well as development of estimates through statistical modelling for countries with no reliable national level data.","[""Maternal deaths are defined as a death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of pregnancy,\nfrom any cause related or aggravated by the pregnancy or its management, but not from accidental or incidental causes.""]","- The dataset combines three sources: WHO Mortality Database (before 1985), Gapminder (before 1985, if WHO Mortality Database data are unavailable), UN MMEIG (1985 onwards).
  The WHO Mortality Database and Gapminder contain reported figures from countries, and are likely to underestimate the true maternal mortality figures. The UN MMEIG aims to estimates the true rate, by adjusting for underreporting and misclassification. Sudden jumps in mortality rate in 1985 are a consequence of switching data sources (from reported to estimated figures).
- For the years between 1950 - 1985 we calculated the maternal mortality ratio and maternal mortality rate based
  on the number of maternal deaths from the WHO mortality database and live births and female population of reproductive age from the UN WPP.
- Where the reported maternal deaths in the WHO Mortality Database differed significantly from the estimated figures in the UN MMEIG data, we opted not to include them.
- Where a data point is attached to a range of years in the Gapminder data set, we used the midpoint of the range.
- The UN MMEIG data shown (post 1985) is the point estimate - this means there is a 50% chance that the true measure lies above this point,
  and a 50% chance that the true value lies below this point.
- We calculated regional aggregates by summing the maternal deaths and live births of all countries in the region and then calculating the MMR based on these figures.",,,"{""note"": ""Prior to 1985, only reported data are available, which are likely to underestimate the true maternal mortality rate. From 1985, estimates are shown, which aim to adjust for underreporting and misclassification.""}",float,[],0a08d2326106f10893a8c64979fbec47,b30cd26ba897f3ff72b1e7e3b18c9f78
959830,Maternal deaths,deaths,,2024-07-29 15:05:54,2024-07-31 12:58:56,,,1751-2020,6643,,,"{""unit"": ""deaths"", ""numDecimalPlaces"": 0}",0,,,maternal_deaths,grapher/maternal_mortality/2024-07-08/maternal_mortality/maternal_mortality#maternal_deaths,,2,major,,,,,,"The estimated number of [maternal deaths](#dod:maternal-mortality) based on death certificates, large-scale surveys, and statistical modeling.",,"[""Maternal deaths are defined as a death of a woman while pregnant or within 42 days of termination of pregnancy, irrespective of the duration and site of pregnancy,\nfrom any cause related or aggravated by the pregnancy or its management, but not from accidental or incidental causes.""]","- The dataset combines three sources: WHO Mortality Database (before 1985), Gapminder (before 1985, if WHO Mortality Database data are unavailable), UN MMEIG (1985 onwards).
  The WHO Mortality Database and Gapminder contain reported figures from countries, and are likely to underestimate the true maternal mortality figures. The UN MMEIG aims to estimates the true rate, by adjusting for underreporting and misclassification. Sudden jumps in mortality rate in 1985 are a consequence of switching data sources (from reported to estimated figures).
- For the years between 1950 - 1985 we calculated the maternal mortality ratio and maternal mortality rate based
  on the number of maternal deaths from the WHO mortality database and live births and female population of reproductive age from the UN WPP.
- Where the reported maternal deaths in the WHO Mortality Database differed significantly from the estimated figures in the UN MMEIG data, we opted not to include them.
- Where a data point is attached to a range of years in the Gapminder data set, we used the midpoint of the range.
- The UN MMEIG data shown (post 1985) is the point estimate - this means there is a 50% chance that the true measure lies above this point,
  and a 50% chance that the true value lies below this point.
- We calculated regional aggregates by summing the maternal deaths and live births of all countries in the region and then calculating the MMR based on these figures.",,,"{""note"": ""Prior to 1985, only reported data are available, which are likely to underestimate the true maternal mortality rate. From 1985, estimates are shown, which aim to adjust for underreporting and misclassification.""}",int,[],002aec8afcc824298a9d1f78c5cb88be,9daacd83a972458b32933873d00f1683