This dataset offers a detailed view of neonatal mortality in SAARC countries over a decade (2012-2021), highlighting the challenges and advancements in neonatal care. It covers key indicators like neonatal mortality rates, annual reduction rates, and the proportion of neonatal deaths in under-five fatalities.

Features: - Year-wise neonatal mortality statistics. - Neonatal death rates across the SAARC region. - Comparative analysis of regional neonatal health progress.

Geographic Coverage (SAARC): - Afghanistan, Bangladesh, Bhutan, India, Maldives, Nepal, Pakistan, Sri Lanka

Data Source and Credits: This dataset is compiled from records provided by UNICEF and the United Nations Inter-agency Group for Child Mortality Estimation (UN_IGME), ensuring high standards of data accuracy and reliability.

Usage: A crucial resource for healthcare analysts, policy makers, and researchers focusing on neonatal health within the SAARC region, this dataset is instrumental in shaping future healthcare strategies and interventions.

The average for 2021 based on 187 countries was 20 deaths per 1000 live births. The highest value was in Sierra Leone: 78 deaths per 1000 live births and the lowest value was in San Marino: 1 deaths per 1000 live births. The indicator is available from 1960 to 2022. Below is a chart for all countries where data are available.

This dataset presents the number of neonatal deaths per 1,000 live births, using data from the UNICEF Data Warehouse. Neonatal mortality refers to the death of a baby within the first 28 days of life and is a critical indicator of newborn health and health system performance. Monitoring this rate supports efforts to improve the quality of care around birth and during the early postnatal period, and to reduce preventable newborn deaths through timely, skilled interventions.Data Source:UNICEF Data Warehouse: https://data.unicef.org/resources/data_explorer/unicef_f/?ag=UNICEF&df=GLOBAL_DATAFLOW&ver=1.0&dq=.CME_MRM0.&startPeriod=1990&endPeriod=2024Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hubthe following codes are also possible values:not reported does not apply don’t knowThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

In 2023, the infant mortality rate in India was at about 24.5 deaths per 1,000 live births, a significant decrease from previous years. Infant mortality as an indicatorThe infant mortality rate is the number of deaths of children under one year of age per 1,000 live births. This rate is an important key indicator for a country’s health and standard of living; a low infant mortality rate indicates a high standard of healthcare. Causes of infant mortality include premature birth, sepsis or meningitis, sudden infant death syndrome, and pneumonia. Globally, the infant mortality rate has shrunk from 63 infant deaths per 1,000 live births to 27 since 1990 and is forecast to drop to 8 infant deaths per 1,000 live births by the year 2100. India’s rural problemWith 32 infant deaths per 1,000 live births, India is neither among the countries with the highest nor among those with the lowest infant mortality rate. Its decrease indicates an increase in medical care and hygiene, as well as a decrease in female infanticide. Increasing life expectancy at birth is another indicator that shows that the living conditions of the Indian population are improving. Still, India’s inhabitants predominantly live in rural areas, where standards of living as well as access to medical care and hygiene are traditionally lower and more complicated than in cities. Public health programs are thus put in place by the government to ensure further improvement.

United States US: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 3.700 Ratio in 2016. This records a decrease from the previous number of 3.800 Ratio for 2015. United States US: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 5.400 Ratio from Dec 1968 (Median) to 2016, with 49 observations. The data reached an all-time high of 15.800 Ratio in 1968 and a record low of 3.700 Ratio in 2016. United States US: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s USA – Table US.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.

UNICEF's country profile for Nigeria, including under-five mortality rates, child health, education and sanitation data.

Background: Neonates and infants comprise the majority of the 6 million annual deaths under 5 years of age around the world. Most of these deaths occur in low/middle income countries (LMICs) and are preventable. However, the clinical identification of neonates and infants at imminent risk of death is challenging in developing countries.Objective: To systematically review the literature on clinical risk factors for mortality in infants under 12 months of age hospitalized for sepsis or serious infections in LMICs.Methods: MEDLINE and EMBASE were systematically searched using MeSH terms through April 2017. Abstracts were independently screened by two reviewers. Subsequently, full-text articles were selected by two independent reviewers based on PICOS criteria for inclusion in the final analysis. Study data were qualitatively synthesized without quantitative pooling of data due to heterogeneity in study populations and methodology.Results: A total of 1,139 abstracts were screened, and 169 full-text articles were selected for text review. Of these, 45 articles were included in the analysis, with 21 articles featuring neonatal populations (under 28 days of age) exclusively. Most studies were from Sub-Saharan Africa and South Asia. Risk factors for mortality varied significantly according to study populations. For neonatal deaths, prematurity, low birth-weight and young age at presentation were most frequently associated with mortality. For infant deaths, malnutrition, lack of breastfeeding and low oxygen saturation were associated with mortality in the highest number of studies.Conclusions: Risk factors for mortality differ between the neonatal and young infant age groups and were also dependant on the study population. These data can serve as a starting point for the development of individualized predictive models for in-hospital and post-discharge mortality and for the development of interventions to improve outcomes among these high-risk groups.

UNICEF's country profile for India, including under-five mortality rates, child health, education and sanitation data.

Cyprus, Germany, Greece, Hungary, Ireland, and Italy had no data on neonatal death by gestational age. ‡ Data from 2005.Countries were sorted by neonatal mortality rate at or after 24 weeks of gestation with low mortality countries listed first.High mortality rates are presented in bold (>75th quartile). Rates based on fewer than 10 deaths were denoted with *.Rates were not computed for cells with fewer than 10 births and were denoted with –.For France the number of term live births was estimated from the national perinatal survey and totals from the vital statistics data.

BackgroundReducing neonatal and child mortality is a key component of the health-related sustainable development goal (SDG), but most low and middle income countries lack data to monitor child mortality on an annual basis. We tested a mortality monitoring system based on the continuous recording of pregnancies, births and deaths by trained community-based volunteers (CBV).Methods and findingsThis project was implemented in 96 clusters located in three districts of the Northern Region of Ghana. Community-based volunteers (CBVs) were selected from these clusters and were trained in recording all pregnancies, births, and deaths among children under 5 in their catchment areas. Data collection lasted from January 2012 through September 2013. All CBVs transmitted tallies of recorded births and deaths to the Ghana Birth and deaths registry each month, except in one of the study districts (approximately 80% reporting). Some events were reported only several months after they had occurred. We assessed the completeness and accuracy of CBV data by comparing them to retrospective full pregnancy histories (FPH) collected during a census of the same clusters conducted in October-December 2013. We conducted all analyses separately by district, as well as for the combined sample of all districts. During the 21-month implementation period, the CBVs reported a total of 2,819 births and 137 under-five deaths. Among the latter, there were 84 infant deaths (55 neonatal deaths and 29 post-neonatal deaths). Comparison of the CBV data with FPH data suggested that CBVs significantly under-estimated child mortality: the estimated under-5 mortality rate according to CBV data was only 2/3 of the rate estimated from FPH data (95% Confidence Interval for the ratio of the two rates = 51.7 to 81.4). The discrepancies between the CBV and FPH estimates of infant and neonatal mortality were more limited, but varied significantly across districts.ConclusionsIn northern Ghana, a community-based data collection systems relying on volunteers did not yield accurate estimates of child mortality rates. Additional implementation research is needed to improve the timeliness, completeness and accuracy of such systems. Enhancing pregnancy monitoring, in particular, may be an essential step to improve the measurement of neonatal mortality.

Switzerland Mortality Rate: Neonatal: per 1000 Live Births data was reported at 2.900 Ratio in 2016. This records a decrease from the previous number of 3.000 Ratio for 2015. Switzerland Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 4.200 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 16.200 Ratio in 1960 and a record low of 2.900 Ratio in 2016. Switzerland Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Switzerland – Table CH.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.

Abstract Introduction There is a great challenge to reduce infant mortality from preventable causes in Brazil, given the inequalities that exist in the territory. Objective To estimate the Infant Mortality Rate due to preventable causes and to compare the results between the border and non-border municipalities, in the State of Mato Grosso do Sul. Method This is an ecological study. Three groups from cities were analyzed: Group 1 - contiguous cities with urban border in a neighboring country; Group 2 - non-contiguous cities with urban border in a neighboring country; e Group 3 - non-border cities. The data were obtained from Living Born Information System and Mortality Information System. Results Infant mortality rates per 1,000 live births, by preventable causes in 2004 and 2014, were respectively: Group 1 (21.8 / 11.29), Group 2 (24.68 / 14.7) and Group 3 (14.3 / 7.23). The highest occurrence of deaths happened due to causes related to inadequate care to women during pregnancy, childbirth, fetus and the newborn. Conclusion The risk of death due to preventable causes is higher in children living in border cities, and this should be considered in the elaboration of future health policies and actions.

Yemen YE: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 26.800 Ratio in 2016. This records a decrease from the previous number of 26.900 Ratio for 2015. Yemen YE: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 44.750 Ratio from Dec 1963 (Median) to 2016, with 54 observations. The data reached an all-time high of 86.500 Ratio in 1963 and a record low of 26.800 Ratio in 2016. Yemen YE: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Yemen – Table YE.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.

Time series data for the statistic Infant_Mortality_Rate_Per_1000_Live_Births and country Sudan. Indicator Definition:Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.The statistic "Infant Mortality Rate Per 1000 Live Births" stands at 39.20 per mille as of 12/31/2023, the lowest value at least since 12/31/1961, the period currently displayed. Regarding the One-Year-Change of the series, the current value constitutes a decrease of -1.10 percentage points compared to the value the year prior.The 1 year change in percentage points is -1.10.The 3 year change in percentage points is -3.60.The 5 year change in percentage points is -6.10.The 10 year change in percentage points is -12.10.The Serie's long term average value is 75.51 per mille. It's latest available value, on 12/31/2023, is 36.31 percentage points lower, compared to it's long term average value.The Serie's change in percentage points from it's minimum value, on 12/31/2023, to it's latest available value, on 12/31/2023, is +0.0.The Serie's change in percentage points from it's maximum value, on 12/31/1983, to it's latest available value, on 12/31/2023, is -71.00.

NO: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 1.500 Ratio in 2016. This records a decrease from the previous number of 1.600 Ratio for 2015. NO: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 4.300 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 12.000 Ratio in 1962 and a record low of 1.500 Ratio in 2016. NO: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Norway – Table NO.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.

CDH definitions.

ACT, funded by the NICHD, studied the feasibility, effectiveness and safety of a multifaceted intervention designed to increase the use of antenatal corticosteroids (ACS) at all levels of health care in low- and middle-income countries. Investigators conducted a two-arm parallel cluster randomized trial of women enrolled in the Global Network Maternal Newborn Health Registry. Intervention clusters received health-provider training, posters, pregnancy disc, and uterine height tape to facilitate identification of women at risk of preterm birth, and ACS kits. All health providers in intervention clusters were trained to identify women presenting before 36 weeks’ gestation with signs of labor, PPROM, pre-eclampsia/eclampsia, or obstetric hemorrhage as at high risk of preterm birth and potential candidates for ACS. The primary outcome was 28-day neonatal mortality among infants less than the 5th percentile for birth weight (a proxy for preterm birth).

Mali ML: Mortality Rate: Infant: per 1000 Live Births data was reported at 68.000 Ratio in 2016. This records a decrease from the previous number of 69.600 Ratio for 2015. Mali ML: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 131.200 Ratio from Dec 1963 (Median) to 2016, with 54 observations. The data reached an all-time high of 213.400 Ratio in 1963 and a record low of 68.000 Ratio in 2016. Mali ML: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mali – Table ML.World Bank: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Monaco MC: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 1.500 Ratio in 2023. This stayed constant from the previous number of 1.500 Ratio for 2022. Monaco MC: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 2.400 Ratio from Dec 1989 (Median) to 2023, with 35 observations. The data reached an all-time high of 4.400 Ratio in 1989 and a record low of 1.500 Ratio in 2023. Monaco MC: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Monaco – Table MC.World Bank.WDI: Social: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.;Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.;Weighted average;Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation. This is the Sustainable Development Goal indicator 3.2.2 [https://unstats.un.org/sdgs/metadata/].

United Kingdom UK: Mortality Rate: Neonatal: per 1000 Live Births data was reported at 2.600 Ratio in 2016. This records a decrease from the previous number of 2.700 Ratio for 2015. United Kingdom UK: Mortality Rate: Neonatal: per 1000 Live Births data is updated yearly, averaging 4.800 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 16.100 Ratio in 1960 and a record low of 2.600 Ratio in 2016. United Kingdom UK: Mortality Rate: Neonatal: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Health Statistics. Neonatal mortality rate is the number of neonates dying before reaching 28 days of age, per 1,000 live births in a given year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries.