In 2023, there were 20,162 infant deaths reported in the United States. This is a large decrease from 29,505 infant deaths in the year 1995. Infant deaths are those among infants under one, and don't include fetal deaths.

In 2022, the infant mortality rate in the United States was 5.4 out of every 1,000 live births. This is a significant decrease from 1960, when infant mortality was at around 26 deaths out of every 1,000 live births. What is infant mortality? The infant mortality rate is the number of deaths of babies under the age of one per 1,000 live births. There are many causes for infant mortality, which include birth defects, low birth weight, pregnancy complications, and sudden infant death syndrome. In order to decrease the high rates of infant mortality, there needs to be an increase in education and medicine so babies and mothers can receive the proper treatment needed. Maternal mortality is also related to infant mortality. If mothers can attend more prenatal visits and have more access to healthcare facilities, maternal mortality can decrease, and babies have a better chance of surviving in their first year. Worldwide infant mortality rates Infant mortality rates vary worldwide; however, some areas are more affected than others. Afghanistan suffered from the highest infant mortality rate in 2024, and the following 19 countries all came from Africa, with the exception of Pakistan. On the other hand, Slovenia had the lowest infant mortality rate that year. High infant mortality rates can be attributed to lack of sanitation, technological advancements, and proper natal care. In the United States, Massachusetts had the lowest infant mortality rate, while Mississippi had the highest in 2022. Overall, the number of neonatal and post neonatal deaths in the United States has been steadily decreasing since 1995.

The Mortality - Infant Deaths (from Linked Birth / Infant Death Records) online databases on CDC WONDER provide counts and rates for deaths of children under 1 year of age, occuring within the United States to U.S. residents. Information from death certificates has been linked to corresponding birth certificates. Data are available by county of mother's residence, child's age, underlying cause of death, sex, birth weight, birth plurality, birth order, gestational age at birth, period of prenatal care, maternal race and ethnicity, maternal age, maternal education and marital status. Data are available since 1995. The data are produced by the National Center for Health Statistics.

In 2023, there were around **** infant deaths in the U.S. per 1,000 live births. The postneonatal mortality rate that year was **** per 1,000 live births. Leading causes of infant mortality in the U.S. include congenital malformations, disorders related to short gestation and low birth weight, maternal complications, and sudden infant death syndrome.

This data collection consists of six data files, which can be used to determine infant mortality rates in the United States in 1995. For the first time, data for Puerto Rico, the Virgin Islands, and Guam were included. Another change in 1995 is a change in format of the linked files. They are now released in two different formats, period data and birth cohort data. This collection represents the period data. Parts 1 and 2 are the Denominator files for the United States and for Puerto Rico, the Virgin Islands, and Guam, respectively. These files consist of all births in 1995. Variables in these files include year of birth, state and county of birth, characteristics of the infant (age, sex, race, birth weight, gestation), characteristics of the mother (Hispanic origin, race, age, education, marital status, state of birth), characteristics of the father (Hispanic origin, race, age, education), pregnancy items (prenatal care, live births), and medical data. A new variable in the Denominator files for 1995 is clinical estimate of gestation. Parts 3 and 4 are the Numerator files. They provide records of all infant deaths that occurred in 1995 linked to their corresponding birth certificates, whether the birth occurred in 1995 or 1994. Variables in these files include age at death, underlying cause of death, autopsy, place of accident, infant death identification number, exact age at death, day of birth and death, and month of birth and death. New variables in the linked Numerator files for 1995 include a weight and a clinical estimate of gestation. Parts 5 and 6 are the "unlinked" files. They consist of infant death records that could not be linked to their corresponding birth records.

This data collection consists of six data files, which can be used to determine infant mortality rates in the United States in 1995. For the first time, data for Puerto Rico, the Virgin Islands, and Guam were included. Another change in 1995 is a change in format of the linked files. They are now released in two different formats, period data and birth cohort data. This collection represents the period data. Parts 1 and 2 are the Denominator files for the United States and for Puerto Rico, the Virgin Islands, and Guam, respectively. These files consist of all births in 1995. Variables in these files include year of birth, state and county of birth, characteristics of the infant (age, sex, race, birth weight, gestation), characteristics of the mother (Hispanic origin, race, age, education, marital status, state of birth), characteristics of the father (Hispanic origin, race, age, education), pregnancy items (prenatal care, live births), and medical data. A new variable in the Denominator files for 1995 is clinical estimate of gestation. Parts 3 and 4 are the Numerator files. They provide records of all infant deaths that occurred in 1995 linked to their corresponding birth certificates, whether the birth occurred in 1995 or 1994. Variables in these files include age at death, underlying cause of death, autopsy, place of accident, infant death identification number, exact age at death, day of birth and death, and month of birth and death. New variables in the linked Numerator files for 1995 include a weight and a clinical estimate of gestation. Parts 5 and 6 are the "unlinked" files. They consist of infant death records that could not be linked to their corresponding birth records. (Source: downloaded from ICPSR 7/13/10)

Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR at https://doi.org/10.3886/ICPSR02285.v1. We highly recommend using the ICPSR version as they may make this dataset available in multiple data formats in the future.

BackgroundWhile the high prevalence of preterm births and its impact on infant mortality in the US have been widely acknowledged, recent data suggest that even full-term births in the US face substantially higher mortality risks compared to European countries with low infant mortality rates. In this paper, we use the most recent birth records in the US to more closely analyze the primary causes underlying mortality rates among full-term births.Methods and findingsLinked birth and death records for the period 2010–2012 were used to identify the state- and cause-specific burden of infant mortality among full-term infants (born at 37–42 weeks of gestation). Multivariable logistic models were used to assess the extent to which state-level differences in full-term infant mortality (FTIM) were attributable to observed differences in maternal and birth characteristics. Random effects models were used to assess the relative contribution of state-level variation to FTIM. Hypothetical mortality outcomes were computed under the assumption that all states could achieve the survival rates of the best-performing states. A total of 10,175,481 infants born full-term in the US between January 1, 2010, and December 31, 2012, were analyzed. FTIM rate (FTIMR) was 2.2 per 1,000 live births overall, and ranged between 1.29 (Connecticut, 95% CI 1.08, 1.53) and 3.77 (Mississippi, 95% CI 3.39, 4.19) at the state level. Zero states reached the rates reported in the 6 low-mortality European countries analyzed (FTIMR < 1.25), and 13 states had FTIMR > 2.75. Sudden unexpected death in infancy (SUDI) accounted for 43% of FTIM; congenital malformations and perinatal conditions accounted for 31% and 11.3% of FTIM, respectively. The largest mortality differentials between states with good and states with poor FTIMR were found for SUDI, with particularly large risk differentials for deaths due to sudden infant death syndrome (SIDS) (odds ratio [OR] 2.52, 95% CI 1.86, 3.42) and suffocation (OR 4.40, 95% CI 3.71, 5.21). Even though these mortality differences were partially explained by state-level differences in maternal education, race, and maternal health, substantial state-level variation in infant mortality remained in fully adjusted models (SIDS OR 1.45, suffocation OR 2.92). The extent to which these state differentials are due to differential antenatal care standards as well as differential access to health services could not be determined due to data limitations. Overall, our estimates suggest that infant mortality could be reduced by 4,003 deaths (95% CI 2,284, 5,587) annually if all states were to achieve the mortality levels of the best-performing state in each cause-of-death category. Key limitations of the analysis are that information on termination rates at the state level was not available, and that causes of deaths may have been coded differentially across states.ConclusionsMore than 7,000 full-term infants die in the US each year. The results presented in this paper suggest that a substantial share of these deaths may be preventable. Potential improvements seem particularly large for SUDI, where very low rates have been achieved in a few states while average mortality rates remain high in most other areas. Given the high mortality burden due to SIDS and suffocation, policy efforts to promote compliance with recommended sleeping arrangements could be an effective first step in this direction.

The child mortality rate in the United States, for children under the age of five, was 462.9 deaths per thousand births in 1800. This means that for every thousand babies born in 1800, over 46 percent did not make it to their fifth birthday. Over the course of the next 220 years, this number has dropped drastically, and the rate has dropped to its lowest point ever in 2020 where it is just seven deaths per thousand births. Although the child mortality rate has decreased greatly over this 220 year period, there were two occasions where it increased; in the 1870s, as a result of the fourth cholera pandemic, smallpox outbreaks, and yellow fever, and in the late 1910s, due to the Spanish Flu pandemic.

Access to a variety of United States birth and death files including fetal deaths: Birth Files, 1968-2009; 1995-2005; Fetal death file, 1982-2005; Mortality files, 1968-2009; Cohort-Linked birth/infant death files, 1983-1991; and Period-Linked birth/infant death files, 1995-2007

Infant Mortality Rate (deaths per 1,000 live births) is the number of deaths occurring to infants under 1 year of age per 1,000 live births. The data are reported by place of residence, not place of death. The rate as well as the rank figures are included in this data. SOURCE: * U.S. Centers for Disease Control and Prevention, National Center for Health Statistics.

BackgroundInfection is thought to play a part in some infant deaths. Maternal infection in pregnancy has focused on chlamydia with some reports suggesting an association with sudden unexpected infant death (SUID).ObjectivesWe hypothesized that maternal infections in pregnancy are associated with subsequent SUID in their offspring.SettingAll births in the United States, 2011–2015Data sourceCenters for Disease Control and Prevention (CDC) Birth Cohort Linked Birth-Infant Death Data Files.Study designCohort study, although the data were analysed as a case control study. Cases were infants that died from SUID. Controls were randomly sampled infants that survived their first year of life; approximately 10 controls per SUID case.ExposuresChlamydia, gonorrhea and hepatitis C.ResultsThere were 19,849,690 live births in the U.S. for the period 2011–2015. There were 37,143 infant deaths of which 17,398 were classified as SUID cases (a rate of 0.86/1000 live births). The proportion of the control mothers with chlamydia was 1.7%, gonorrhea 0.2% and hepatitis C was 0.3%. Chlamydia was present in 3.8% of mothers whose infants subsequently died of SUID compared with 1.7% of controls (unadjusted OR = 2.35, 95% CI = 2.15, 2.56; adjusted OR = 1.08, 95% CI = 0.98, 1.19). Gonorrhea was present in 0.7% of mothers of SUID cases compared with 0.2% of mothers of controls (OR = 3.09, (2.50, 3.79); aOR = 1.20(0.95, 1.49)) and hepatitis C was present in 1.3% of mothers of SUID cases compared with 0.3% of mothers of controls (OR = 4.69 (3.97, 5.52): aOR = 1.80 (1.50, 2.15)).ConclusionsThe marked attenuation of SUID risk after adjustment for a wide variety of socioeconomic and demographic factors suggests the small increase in the risk of SUID of the offspring of mothers with infection with hepatitis C in pregnancy is due to residual confounding.

The global infant mortality rate decreased from 1990 to 2023 and is predicted to continue to fall in the coming decades. In 2023, there were approximately 27.3 infant deaths per 1,000 liver births worldwide, a number that is expected to drop below 10 by 2100. As a result of this, as well as other developments, the world's population increased over the last decades and is predicted to continue to increase in the coming decades.

Laos LA: Mortality Rate: Infant per 1000 Births data was reported at 17.200 NA in 2050. This records a decrease from the previous number of 17.800 NA for 2049. Laos LA: Mortality Rate: Infant per 1000 Births data is updated yearly, averaging 42.150 NA from Jun 1995 (Median) to 2050, with 56 observations. The data reached an all-time high of 104.700 NA in 1995 and a record low of 17.200 NA in 2050. Laos LA: Mortality Rate: Infant per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Laos – Table LA.US Census Bureau: Demographic Projection.

Enclosed are data from CIESIN's Global subnational infant mortality rates database. Further documentation for these data is available in the enclosed catalog and on the CIESIN Poverty Mapping web site at: http://www.ciesin.columbia.edu/povmap Center for International Earth Science Information Network (CIESIN), Columbia University; 2005 Global subnational infant mortality rates [dataset]. CIESIN, Palisades, NY, USA. Available at: http://www.ciesin.columbia.edu/povmap/ds_global.html

Belarus BY: Mortality Rate: Infant per 1000 Births data was reported at 1.200 NA in 2100. This stayed constant from the previous number of 1.200 NA for 2099. Belarus BY: Mortality Rate: Infant per 1000 Births data is updated yearly, averaging 1.800 NA from Jun 1989 (Median) to 2100, with 112 observations. The data reached an all-time high of 12.900 NA in 1995 and a record low of 1.200 NA in 2100. Belarus BY: Mortality Rate: Infant per 1000 Births data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s Belarus – Table BY.US Census Bureau: Demographic Projection.

Netherlands NL: Mortality Rate: Infant per 1000 Births data was reported at 3.000 NA in 2050. This stayed constant from the previous number of 3.000 NA for 2049. Netherlands NL: Mortality Rate: Infant per 1000 Births data is updated yearly, averaging 3.400 NA from Jun 1995 (Median) to 2050, with 56 observations. The data reached an all-time high of 5.700 NA in 1996 and a record low of 3.000 NA in 2050. Netherlands NL: Mortality Rate: Infant per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Netherlands – Table NL.US Census Bureau: Demographic Projection.

Malta MT: Mortality Rate: Infant per 1000 Births data was reported at 3.400 NA in 2050. This stayed constant from the previous number of 3.400 NA for 2049. Malta MT: Mortality Rate: Infant per 1000 Births data is updated yearly, averaging 4.300 NA from Jun 1995 (Median) to 2050, with 56 observations. The data reached an all-time high of 8.600 NA in 1995 and a record low of 3.400 NA in 2050. Malta MT: Mortality Rate: Infant per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Malta – Table MT.US Census Bureau: Demographic Projection.

Latvia LV: Mortality Rate: Infant per 1000 Births data was reported at 3.600 NA in 2050. This records a decrease from the previous number of 3.700 NA for 2049. Latvia LV: Mortality Rate: Infant per 1000 Births data is updated yearly, averaging 5.050 NA from Jun 1989 (Median) to 2050, with 62 observations. The data reached an all-time high of 19.500 NA in 1995 and a record low of 3.600 NA in 2050. Latvia LV: Mortality Rate: Infant per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Latvia – Table LV.US Census Bureau: Demographic Projection.

Infants born before completing 26 weeks of gestation account for less than 1% of live births in the United States but more than 40% of infant deaths. The rate of these “periviable†births among non-Hispanic (NH) Blacks exceeds 4 times that among NH Whites. Among periviable infants, small males die most frequently. The mean birthweight of NH White periviable male singletons persistently exceeds that of their NH Black counterparts. The scientific literature includes no explorations of mechanisms that could explain this disparity in birth weight. We offer, and test, the argument that survivors of the vanishing twin syndrome, a phenomenon in which the slower-growing fetus of a twin pair dies in utero, contribute to the disparity. Among male periviable singleton births from 288 monthly conception cohorts (1/95 through 12/2018), we found an average NH White advantage of 30 grams (759g versus 729g). Consistent with our argument, however, cohorts with relatively few survivors of the vanishing t..., , , # Vanishing twins, spared cohorts, and the difference in birthweight between the frailest White and Black infants in the United States

https://doi.org/10.5061/dryad.xksn02vp9

Description of the data and file structure

The data are time series for 288 months beginning January 1995 and ending December 2018.

The variable dictionary is as follows.

Variable Dictionary

tperimwN=count of periviable male Nhwhite twins

tperimwN=count of periviable male NHwhite twins

tperifbN=count of periviable female NHblack twins

tperifbN=count of periviable female NHblack twins

 _

spmumwbw=mean birthweight for singleton nhwhite males

spmdmwbw=median birthweight for singleton nhwhite males

spp1mwbw= first percentile birthweight for singleton nhwhite males

spp5mwbw =fifth percentile birthweight for singleton nhwhite males

spmufwbw=mean birthweight for singleton nhwhite females

spmdfwbw=median birthweight for singleton nhwhite females

spp1fwbw...

BackgroundMacrosomia has been defined in various ways by obstetricians and researchers. The purpose of the present study was to search for a definition of macrosomia through an outcome-based approach.MethodsIn a study of 30,831,694 singleton term live births and 38,053 stillbirths in the U.S. Linked Birth-Infant Death Cohort datasets (1995–2004), we compared the occurrence of stillbirth, neonatal death, and 5-min Apgar score less than four in subgroups of birthweight (4000–4099 g, 4100–4199 g, 4200–4299 g, 4300–4399 g, 4400–4499 g, 4500–4999 g vs. reference group 3500–4000 g) and birthweight percentile for gestational age (90th–94th percentile, 95th-96th, and ≥97th percentile, vs. reference group 75th–90th percentile).ResultsThere was no significant increase in adverse perinatal outcomes until birthweight exceeded the 97th percentile. Weight-specific odds ratios (ORs) elevated substantially to 2 when birthweight exceeded 4500 g in Whites. In Blacks and Hispanics, the aORs exceeded 2 for 5-min Apgar less than four when birthweight exceeded 4300 g. For vaginal deliveries, the aORs of perinatal morbidity and mortality were larger for most of the subgroups, but the patterns remained the same.ConclusionsA birthweight greater than 4500 g in Whites, or 4300 g in Blacks and Hispanics regardless of gestational age is the optimal threshold to define macrosomia. A birthweight greater than the 97th percentile for a given gestational age, irrespective of race is also reasonable to define macrosomia. The former may be more clinically useful and simpler to apply.