This is a source dataset for a Let's Get Healthy California indicator at https://letsgethealthy.ca.gov/. Infant Mortality is defined as the number of deaths in infants under one year of age per 1,000 live births. Infant mortality is often used as an indicator to measure the health and well-being of a community, because factors affecting the health of entire populations can also impact the mortality rate of infants. Although California’s infant mortality rate is better than the national average, there are significant disparities, with African American babies dying at more than twice the rate of other groups. Data are from the Birth Cohort Files. The infant mortality indicator computed from the birth cohort file comprises birth certificate information on all births that occur in a calendar year (denominator) plus death certificate information linked to the birth certificate for those infants who were born in that year but subsequently died within 12 months of birth (numerator). Studies of infant mortality that are based on information from death certificates alone have been found to underestimate infant death rates for infants of all race/ethnic groups and especially for certain race/ethnic groups, due to problems such as confusion about event registration requirements, incomplete data, and transfers of newborns from one facility to another for medical care. Note there is a separate data table "Infant Mortality by Race/Ethnicity" which is based on death records only, which is more timely but less accurate than the Birth Cohort File. Single year shown to provide state-level data and county totals for the most recent year. Numerator: Infants deaths (under age 1 year). Denominator: Live births occurring to California state residents. Multiple years aggregated to allow for stratification at the county level. For this indicator, race/ethnicity is based on the birth certificate information, which records the race/ethnicity of the mother. The mother can “decline to state”; this is considered to be a valid response. These responses are not displayed on the indicator visualization.

NOTES: Figures include all revisions received from the states and, therefore, may differ from those previously published. Data are provisional and are subject to monthly reporting variation. National data are calculated by summing the number of events reported by state of residence; counts are rounded to the nearest thousand (births and deaths) or hundred (infant deaths). Provisional counts may differ by approximately 2% from final counts, due to rounding and reporting variation. Additionally, the accuracy of the provisional counts may change over time. Data are estimates by state of residence. For discussion of the nature, source, and limitations of the data, see "Technical Notes" of the report, Births, Marriages, Divorces, and Deaths: Provisional Data for 2009. Available from URL: http://www.cdc.gov/nchs/data/nvsr/nvsr58/nvsr58_25.htm. Final counts of births, deaths, and infant deaths for previous years can be obtained from http://wonder.cdc.gov. SOURCE: Provisional data from the National Vital Statistics System, National Center for Health Statistics, CDC.

Effect of suicide rates on life expectancy dataset

Abstract In 2015, approximately 55 million people died worldwide, of which 8 million committed suicide. In the USA, one of the main causes of death is the aforementioned suicide, therefore, this experiment is dealing with the question of how much suicide rates affects the statistics of average life expectancy. The experiment takes two datasets, one with the number of suicides and life expectancy in the second one and combine data into one dataset. Subsequently, I try to find any patterns and correlations among the variables and perform statistical test using simple regression to confirm my assumptions.

Data

The experiment uses two datasets - WHO Suicide Statistics[1] and WHO Life Expectancy[2], which were firstly appropriately preprocessed. The final merged dataset to the experiment has 13 variables, where country and year are used as index: Country, Year, Suicides number, Life expectancy, Adult Mortality, which is probability of dying between 15 and 60 years per 1000 population, Infant deaths, which is number of Infant Deaths per 1000 population, Alcohol, which is alcohol, recorded per capita (15+) consumption, Under-five deaths, which is number of under-five deaths per 1000 population, HIV/AIDS, which is deaths per 1 000 live births HIV/AIDS, GDP, which is Gross Domestic Product per capita, Population, Income composition of resources, which is Human Development Index in terms of income composition of resources, and Schooling, which is number of years of schooling.

LICENSE

THE EXPERIMENT USES TWO DATASET - WHO SUICIDE STATISTICS AND WHO LIFE EXPECTANCY, WHICH WERE COLLEECTED FROM WHO AND UNITED NATIONS WEBSITE. THEREFORE, ALL DATASETS ARE UNDER THE LICENSE ATTRIBUTION-NONCOMMERCIAL-SHAREALIKE 3.0 IGO (https://creativecommons.org/licenses/by-nc-sa/3.0/igo/).

[1] https://www.kaggle.com/szamil/who-suicide-statistics

[2] https://www.kaggle.com/kumarajarshi/life-expectancy-who

Israel Vital Statistics: per 1000 Live Births: Infant Death Rate data was reported at 3.062 ‰ in 2017. This records a decrease from the previous number of 3.142 ‰ for 2016. Israel Vital Statistics: per 1000 Live Births: Infant Death Rate data is updated yearly, averaging 5.800 ‰ from Dec 1980 (Median) to 2017, with 38 observations. The data reached an all-time high of 15.700 ‰ in 1981 and a record low of 3.062 ‰ in 2017. Israel Vital Statistics: per 1000 Live Births: Infant Death Rate data remains active status in CEIC and is reported by Central Bureau of Statistics. The data is categorized under Global Database’s Israel – Table IL.G002: Vital Statistics.

The number of infant deaths per 1,000 live births in Poland significantly decreased during the observed period. The highest death rate occurred in 1946 (***** per 1,000 live births). In 2023, the rate was *** deaths.

Number and percentage of live births and fetal deaths (stillbirths), by place of birth (hospital or non-hospital), 1991 to most recent year.

Live births and deaths after parish | gimi9.com

Graph and download economic data for Age-Adjusted Premature Death Rate for Live Oak County, TX (CDC20N2UAA048297) from 1999 to 2020 about Live Oak County, TX; premature; death; TX; rate; and USA.

Rate: Number of deaths occurring in infants under 1 year of age in a given year per 1,000 live births.

Definition: Rate of death occurring under 1 year of age in a given year per 1,000 live births to resident mothers in the same year.

Data Sources: (1) New Jersey Birth Certificate Database, (2) Linked Infant Death-Birth Database, New Jersey

History: MAR 2014 - 2020 target based on 2007 data.

MAR 2017 - Baseline year changed from 2007 to 2010. - 2020 targets modified to reflect a 10% improvement over 2010 baseline for total population and all racial/ethnic groups

The data shows number of live birth and deaths for Mauritius for the year 1991 to 2020

Series Name: Under-five mortality rate by sex (deaths per 1 000 live births)Series Code: SH_DYN_MORTRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.1: Under-5 mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

The USA: Infant deaths per 1000 live births: The latest value from 2022 is 5 deaths per 1000 live births, unchanged from 5 deaths per 1000 live births in 2021. In comparison, the world average is 19 deaths per 1000 live births, based on data from 187 countries. Historically, the average for the USA from 1960 to 2022 is 12 deaths per 1000 live births. The minimum value, 5 deaths per 1000 live births, was reached in 2021 while the maximum of 26 deaths per 1000 live births was recorded in 1960.

Table of INEBase Deaths of live born babies who live less than 24 hours, by Autonomous Community of residence of the mother and month. Vital Statistics (Provisional Results)

Vietnam Child Mortality Rate: Infant: Deaths per 1000 Live Births: Urban data was reported at 8.400 NA in 2017. This records a decrease from the previous number of 8.500 NA for 2016. Vietnam Child Mortality Rate: Infant: Deaths per 1000 Live Births: Urban data is updated yearly, averaging 9.400 NA from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 20.400 NA in 2001 and a record low of 8.400 NA in 2017. Vietnam Child Mortality Rate: Infant: Deaths per 1000 Live Births: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G058: Vital Statistics.

In 2023, the infant mortality rate in deaths per 1,000 live births in Japan amounted to 1.8. Between 1960 and 2023, the figure dropped by 28.6, though the decline followed an uneven course rather than a steady trajectory.

IE 040 m. Live births and deaths by sex and by month

Hungary Vital Statistics: Infant Deaths: per 1000 Live Born data was reported at 3.787 NA in Sep 2018. This records an increase from the previous number of 2.632 NA for Aug 2018. Hungary Vital Statistics: Infant Deaths: per 1000 Live Born data is updated monthly, averaging 5.200 NA from Jan 2002 (Median) to Sep 2018, with 201 observations. The data reached an all-time high of 9.700 NA in Dec 2002 and a record low of 1.713 NA in Sep 2017. Hungary Vital Statistics: Infant Deaths: per 1000 Live Born data remains active status in CEIC and is reported by Hungarian Central Statistical Office. The data is categorized under Global Database’s Hungary – Table HU.G003: Vital Statistics.

Series Name: Neonatal mortality rate (deaths per 1 000 live births)Series Code: SH_DYN_NMRTRelease Version: 2020.Q2.G.03This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 3.2.2: Neonatal mortality rateTarget 3.2: By 2030, end preventable deaths of newborns and children under 5 years of age, with all countries aiming to reduce neonatal mortality to at least as low as 12 per 1,000 live births and under-5 mortality to at least as low as 25 per 1,000 live birthsGoal 3: Ensure healthy lives and promote well-being for all at all agesFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

This dataset is about books. It has 1 row and is filtered where the book is A death in Live Oak. It features 7 columns including author, publication date, language, and book publisher.

This dataset tracks the updates made on the dataset "Infant Mortality, Deaths Per 1,000 Live Births (LGHC Indicator)" as a repository for previous versions of the data and metadata.