- Country/Area (COUNTRY/AREA)
- Supranational group of countries (COUNTRY_GRP)
- Sex (SEX)
- Year of measure (YEAR)
- Andorra
- Monaco
-
Probability of dying before age 5 per 1000 live births, males (Line chart)
-
Probability of dying before age 5 per 1000 live births, males (Bar chart)
-
Probability of dying before age 5 per 1000 live births, males (Boxplot chart)
-
x px
-
European Health for All database (HFA-DB)
-
Health information system and data governance
-
Artificial Intelligence for Health in the WHO European Region
-
Assistive Technology
-
European Programme of Work
-
Digital Health
-
European mortality database (MDB)
-
Rehabilitation
-
Health-enhancing physical activity
-
European database on human and technical resources for health (HlthRes-DB)
-
Environment and Health Information System (ENHIS)
-
Financial protection in the European Region
-
Child and adolescent health
-
Seasonal influenza vaccination policies and coverage
-
Health Behaviour in School-aged Children (HBSC)
-
Maternal nutrition, physical activity and weight gain during pregnancy
-
Antimicrobial resistance
-
Global nutrition policy survey
-
Status of child and adolescent health policies in Europe
-
Health 2020 indicators
-
Global eHealth survey 2015
-
Joint Monitoring Framework (JMF)
Indicator code: E060401.M This indicator shares the definition with the parent indicator \"Probability of dying before age 5 per 1000 live births\".
Number of deaths per 1000 live births until 5 years of age. Taken from appropriate cell of life table (as a by-product of life expectancy calculation), i.e. (1-L5 probability to survive by 5)*1000.
Unfortunately, some countries can not ensure complete registration of all death cases and births. Therefore, under-5 mortality rates calculated using incomplete mortality data are lower than they actually are and inter-country comparisons should be treated with caution.
Particularly high levels of mortality under- registration are observed in countries of central Asia and Caucasus, and in some countries of the former Yugoslavia and Albania. See indicator No.1073 060410 which contains different estimates for the same indicator based on other sources and special methods._
under-registration of deaths. They may be inconsistent with some other mortality-related indicators
which have been calculated using reported data on registered deaths.
Under-5 Mortality Study 2012?
Previous years Public Health Institution of Turkey
Understanding the Probability of Dying Before Age 5 Per 1000 Live Births, Males
The indicator "Probability of dying before age 5 per 1000 live births, males" provides a critical measure of child health and survival in various regions and countries. This statistic reflects the number of male children who are expected to die before reaching the age of five, per every thousand live male births recorded. It serves as a significant health metric, helping policymakers, health professionals, and researchers to assess the effectiveness of health interventions aimed at reducing child mortality. By monitoring this indicator, stakeholders can identify priority areas that require improved healthcare services and interventions to enhance child survival rates.
How to Calculate the Probability of Dying Before Age 5 Per 1000 Live Births, Males
To calculate the probability of dying before age 5 per 1000 live births for males, health statisticians use data from birth and death records. The formula involves dividing the number of deaths of male children under five years old by the number of live male births in the same period, then multiplying the result by 1000. This calculation provides a mortality rate that is crucial for understanding the health landscape concerning early childhood survival. Accurate data collection and reporting are essential for this calculation, as they ensure the reliability of the mortality rate derived from these figures.
The Importance of Monitoring Early Childhood Mortality Rates
Tracking the probability of dying before age 5 per 1000 live births for males is vital for several reasons. Firstly, it highlights the health challenges and risks that young children face in different environments, guiding targeted health interventions. Secondly, it serves as an indicator of the overall health system's performance, reflecting the effectiveness of prenatal and postnatal care services. Moreover, this metric helps in mobilizing resources and fostering international cooperation aimed at reducing child mortality rates, in line with global health objectives such as the Sustainable Development Goals.
Strengths and Limitations of the Early Childhood Mortality Rate Indicator
While the early childhood mortality rate is a valuable health indicator, it comes with its own set of strengths and limitations that influence its use and interpretation.
Strengths
This indicator is universally recognized and standardized, making it a reliable metric for international comparisons and longitudinal studies. It helps in assessing the impact of health policies and interventions over time, providing a clear measure of progress in improving child health. Additionally, the data derived from this indicator can be instrumental in resource allocation, ensuring that healthcare services are directed towards regions with higher child mortality rates.
Limitations
However, the accuracy of this indicator heavily depends on the quality of vital registration systems. In regions where birth and death registration is incomplete or inaccurate, the data may not truly reflect the actual situation, leading to potential misinterpretations. Furthermore, this indicator does not account for the distribution of deaths across different child age groups or the causes of death, which are crucial for developing specific health interventions. Lastly, socio-economic factors and cultural practices that significantly impact child mortality rates are not directly captured by this metric, necessitating a more comprehensive approach to understanding and addressing child health needs.
Overall, while the probability of dying before age 5 per 1000 live births for males is a critical health indicator, it should be used in conjunction with other data and insights to form a holistic view of child health and survival strategies.
-
% of population aged 0–14 years, males
-
% of population aged 0–14 years, females
-
% of population aged 65+ years
-
% of population aged 65+ years, males
-
% of population aged 65+ years, females
-
Live births per 1000 population, males
-
Live births per 1000 population, females
-
Number of live births
-
Number of live births, males
-
Number of live births, females