In 2023, the infant mortality rate in Poland did not change in comparison to the previous year. The infant mortality rate remained at 3.7 deaths per 1,000 live births. The infant mortality rate refers to the number of newborns not expected to survive past the first year of life. This is generally expressed as a value per 1,000 live births, and infant mortality also includes neonatal mortality (deaths within the first 28 days of life).Find more statistics on other topics about Poland with key insights such as total life expectancy at birth, total fertility rate, and death rate.

This is a MD iMAP hosted service layer. Find more information at http://imap.maryland.gov. Each Maryland County's number of infant deaths and infant mortality rates by race in 2012 and 2013. Includes: a) Number of Infant Deaths of All Races - 2012 - b) Number of Infant Deaths of All Races - 2013 - c) Infant Mortality Rate of All Races Per 1 - 000 Live Births - 2012 - d) Infant Mortality Rate of All Races Per 1 - 000 Live Births - 2013 - e) White Infant Deaths - 2012 - f) White Infant Deaths - 2013 - g) White Infant Mortality Rate Per 1 - 000 Live Births 2012 - h) White Infant Mortality Rate Per 1 - 000 Live Births 2013 - i) Black Infant Deaths - 2012 - j) Black Infant Deaths - 2013 - k) Black Infant Mortality Rate Per 1 - 000 Live Births 2012 - l) Black Infant Mortality Rate Per 1 - 000 Live Births 2013 - m) Number of Infant Deaths All Races from 2004-2008 - n) Number of Infant Deaths All Races from 2009-2013 - o) Average Infant Mortality Rate of All Races from 2004-2008 - p) Average Infant Mortality Rate of All Races from 2009-2013 - q) Percent Change of Infant Deaths. Values = Rates based on <5 deaths are not presented since rates based on small numbers are statistically unreliable. Feature Service Layer Link: https://mdgeodata.md.gov/imap/rest/services/Health/MD_VitalStatistics/FeatureServer ADDITIONAL LICENSE TERMS: The Spatial Data and the information therein (collectively "the Data") is provided "as is" without warranty of any kind either expressed implied or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct indirect incidental consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

The infant mortality rate in Czechia slightly increased to 2.2 deaths per 1,000 live births in 2023. The infant mortality rate saw its lowest number in 2022 with 2.1 deaths per 1,000 live births. Find more statistics on other topics about the Czech Republic with key insights such as total life expectancy at birth, death rate, and crude birth rate.

The infant mortality rate in Indonesia decreased to 17 deaths per 1,000 live births compared to the previous year. As a result, the infant mortality rate in Indonesia saw its lowest number in 2023 with 17 deaths per 1,000 live births. The infant mortality rate is the number of newborns who do not survive past the first 12 months of life. This is generally expressed as a value per 1,000 live births, and also includes neonatal mortality (deaths within the first 28 days of life).Find more statistics on other topics about Indonesia with key insights such as fertility rate of women aged between 15 and 19 years old, death rate, and rate of children immunized against measles in the age group of 12 to 23 months.

Each Maryland County's number of infant deaths and infant mortality rates by race in 2012 and 2013. Includes: a) Number of Infant Deaths of All Races, 2012, b) Number of Infant Deaths of All Races, 2013, c) Infant Mortality Rate of All Races Per 1,000 Live Births, 2012, d) Infant Mortality Rate of All Races Per 1,000 Live Births, 2013, e) White Infant Deaths, 2012, f) White Infant Deaths, 2013, g) White Infant Mortality Rate Per 1,000 Live Births 2012, h) White Infant Mortality Rate Per 1,000 Live Births 2013, i) Black Infant Deaths, 2012, j) Black Infant Deaths, 2013, k) Black Infant Mortality Rate Per 1,000 Live Births 2012, l) Black Infant Mortality Rate Per 1,000 Live Births 2013, m) Number of Infant Deaths All Races from 2004-2008, n) Number of Infant Deaths All Races from 2009-2013, o) Average Infant Mortality Rate of All Races from 2004-2008, p) Average Infant Mortality Rate of All Races from 2009-2013, q) Percent Change of Infant Deaths.

This statistic shows the number of deaths of children less than one year of age per 1,000 live births in Canada in 2012. There were 21.4 infant deaths per 1,000 live births in Nunavut in 2012.

In 2012, infant mortality rate for South Sumatra was 29 deaths per 1'000 live births. Infant mortality rate of South Sumatra fell gradually from 155 deaths per 1'000 live births in 1971 to 29 deaths per 1'000 live births in 2012.

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.

In 2023, the infant mortality rate in Japan did not change in comparison to the previous year. The infant mortality rate remained at 1.8 deaths per 1,000 live births. The infant mortality rate is the number of newborns who do not survive past the first 12 months of life. This is generally expressed as a value per 1,000 live births, and also includes neonatal mortality (deaths within the first 28 days of life).Find more statistics on other topics about Japan with key insights such as total life expectancy at birth, total fertility rate, and death rate.

Infant mortality rate of Formosa plummeted by 18.54% from 21.24 deaths per '000 live births in 2011 to 17.30 deaths per '000 live births in 2012. Since the 6.77% surge in 2009, infant mortality rate sank by 15.61% in 2012.

Graph and download economic data for Infant Mortality Rate for Low Income Countries (SPDYNIMRTINLIC) from 1990 to 2023 about mortality, infant, income, and rate.

【リソース】Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan / Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan / Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2012 / Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan / Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan / Volume 1_6-6_Live births, infant deaths and infant mortality rates (per 1,000 live births) by months of birth:Japan / Volume 1_6-7_Trends in infant deaths and percent distribution by place of occurrence:Japan / Volume 1_6-8_Percent distribution of infant deaths by place of occurrence:Japan, each prefecture and 21 major cities, 2012 / Volume 1_6-9_Infant deaths, infant mortality rates (per 1,000 live births) and percent distribution by type of occupation of household:Japan, 2012 / Volume 1_6-10_Trends in infant deaths by each prefecture:Japan / Volume 1_6-11_Trends in infant mortality rates (per 1,000 live births) by each prefecture:Japan / Volume 1_6-12_Infant mortality rates (per 100,000 live births) by age and proportion of neonatal deaths:Japan, each prefecture and 21 major cities, 2012 / Volume 1_6-13_Trends in infant deaths and infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan / Volume 1_6-14_Infant deaths and infant mortality rates (per 100,000 live births) by age and causes (the list of causes of infant death):Japan, 2012 / Volume 1_6-15_Percent distribution of infant deaths by age and causes(the list of causes of infant death):Japan, 2012 / Volume 1_6-16_Trends in leading causes of neonatal and infant death:Japan / Volume 1_6-17_Infant mortality rates (per 100,000 live births) by causes (the list of causes of infant death):Japan, each prefecture and 21 major cities, 2012 / Volume 1_6-18_Infant deaths and infant mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2012 / Volume 1_6-19_Neonatal deaths and neonatal mortality rates (per 100,000 live births) by diseases, causes (the list of causes of infant death) and birth weight:Japan, 2012 / Volume 2_1_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) by sex and month of occurrence:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_2_Infant deaths (under 1 year) by age and sex:Japan, urban/rural residence, each prefecture and 21 major cities / Volume 2_3_Infant deaths (under 1 year) by age, sex and type of occupation of household:Japan / Volume 2_4_Infant deaths (under 1 year) by month of occurrence and date of birth:Japan / Volume 2_5_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and age of mother:Japan / Volume 2_6_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex, plurality of birth and birth order:Japan / Volume 2_7_Infant deaths (under 1 year) from diseases, birth weight and mean birth weight by sex and period of gestation:Japan / Volume 3_1_Infant deaths (under 1 year) by causes (the list of causes of infant death), sex and age:Japan / Volume 3_2_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death) and sex:Japan, each prefecture and 21 major cities / Volume 3_3_Infant deaths (under 1 year) and neonatal deaths (under 4 weeks) by causes (the list of causes of infant death), sex and month of occurrence:Japan / Volume 3_4_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and birth weight:Japan / Volume 3_5_Infant deaths (under 1 year), neonatal deaths (under 4 weeks) and early neonatal deaths (under 1 week) from diseases by causes (the list of causes of infant death), sex and period of gestation:Japan / Vital Statistics_Vital statistics of Japan_Final data_Infant mortality_Yearly_2012 / Volume 1_6-1_Trends in infant deaths, infant mortality rates (per 1,000 live births), sex ratio and proportion of infant deaths to total deaths:Japan,Volume 1_6-2_Trends in neonatal deaths, neonatal mortality rates (per 1,000 live births), sex ratio and proportion of neonatal deaths to infant deaths:Japan,Volume 1_6-3_Infant mortality rates (per 100,000 live births) and percent distribution by sex and age (days, weeks and months):Japan, 2012,Volume 1_6-4_Trends in infant mortality rates (per 100,000 live births) by sex and age (days, weeks and months):Japan,Volume 1_6-5_Trends in infant deaths and infant mortality rates (per 1,000 live births) by month:Japan,Volume 1_6-6_

Decrease the rate of infant deaths per 1,000 live births from 7.5 in 2012 to 6.5 by 2018.

The number of infant deaths (babies under one year of age) per 1,000 live births within the area in a five year period. This is the most stable and commonly measured indicator of mortality in this age group. Source: Baltimore City Health Department Years Available: 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018

Objective: Retrospective analysis of routinely collected data using verbal and social autopsy tools to identify the medical causes of death and contribution of non-biological factors towards infant mortality Setting: The study site was Health and Demographic Surveillance System (HDSS), Ballabgarh, North India Participants: All infant deaths during year 2008 to 2012 were included for verbal autopsy whereas infant deaths from July 2012 to December 2012 were included for social autopsy. Outcome measures: Cause of death ascertained by validated verbal autopsy tool and level of delay based on three delay model using INDEPTH social autopsy tool were the main outcome measures. Results: Infant mortality rate during study period was 46.5/100 live births. Neonatal deaths contributed to 54.3% of infant deaths and 39% occurred on first day of life. Birth asphyxia (31.5%) followed by Low Birth Weight (LBW)/prematurity (26.5%) were the most common causes of neonatal death. While infective cause (57.8) was the most common cause of post-neonatal death. Care-seeking was delayed among 50% of neonatal deaths and 41.2% of post-neonatal deaths. Delay at level 1 was most common, observed in 32.4% of neonatal deaths and 29.4% of post-neonatal deaths. Deaths due to LBW/prematurity were mostly followed by delay at level 1. Conclusion: High proportion of preventable infant mortality still exists in an area which is under continuous health and demographic surveillance. There is need to enhance home based preventive care to enable the mother to identify and respond to danger signs. Verbal autopsy and social autopsy could be routinely done to guide policy interventions aimed at reduction of infant mortality.

This statistic shows the infant mortality rate in Macao from 2012 to 2022. In 2022, around 0.9 infants out of one thousand live births died in Macao.

Infant mortality rate of Mordovia, Republic of sank by 26.67% from 6.0 deaths per 1,000 live births in 2014 to 4.4 deaths per 1,000 live births in 2015. Since the 53.85% jump in 2012, infant mortality rate plummeted by 45.00% in 2015. The infant mortality rate is the number of deaths under one year of age occurring among the live births in a given geographical area during a given year, per 1,000 live births occurring among the population of the given geographical area during the same year.

11.0 (per 1000 live births) in 2012.

Infant mortality rate of Amur Region sank by 15.38% from 9.1 deaths per 1,000 live births in 2014 to 7.7 deaths per 1,000 live births in 2015. Since the 28.97% jump in 2012, infant mortality rate plummeted by 44.20% in 2015. The infant mortality rate is calculated as the sum of two components, the first of which - the ratio of the number of deaths before the age of one year from the generation born in the year for which the calculated ratio to the total number of births in the same year, and the second - the ratio of the number of deaths at age up to one year from the generation born in the previous year to the total number of births in the previous year

Analysis of ‘Infant Death Rate’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/4cd86922-b576-4221-9a0d-5efc421eef25 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Decrease the rate of infant deaths per 1,000 live births from 7.5 in 2012 to 6.5 by 2018.

--- Original source retains full ownership of the source dataset ---