The following abbreviations are used in the indicator titles:
Indicator code: E060201.M This indicator shares the definition with the parent indicator \"Life expectancy at birth (years)\".
Calculated by WHO/EURO for all countries which report detailed mortality data to WHO, using Wiesler's method. Age disaggregation of mortality data: 0, 1-4, 5-9,10-14, etc, 80-84, 85+.
Unfortunately, some countries are not able to ensure complete registration of all death cases and births. Therefore, life expectancy calculated using incomplete mortality data is higher than it actualy is. In some cases under-registration of deaths may reach 20% and this has to be kept in mind when making comparisons between countries. Particularly high levels of mortality under-registration are observed in countries which were affected by armed conflicts during 1990's, e.g. Georgia, Albania, Tajikistan and some other countries of former USSR and ex-Yugoslavia . In case of Georgia this problem is further aggravated by missing sufficiently accurate population estimates used as denominator._
The sharp increase in 2001 is caused by the sharp change in population age structure based on the
2001 population census.
estimates for previous years. This also effects the calculation of all rates and other indicators,
like life expectancy which show sharp changes between 2001 and 2002, purely because of the change in
the denominator. Indicators prior to 2002 will be recalculated if the retroactvely adjusted
population figures are received from the Central Statistical Office of Armenia.
under-registration of deaths. They may be inconsistent with some other mortality-related indicators
which have been calculated using reported data on registered deaths.
Data are based on mid-year estimations of national population projections and indirect estimations.
Understanding Life Expectancy at Age 1 for Males
Life expectancy at age 1 for males is a crucial demographic indicator that provides insights into the health and longevity prospects of male children beyond their first year. This statistic reflects the average number of years a one-year-old male is expected to live, assuming that current mortality rates remain constant throughout his life. It is an essential measure for public health officials and policymakers to assess the effectiveness of healthcare systems, particularly in addressing infant and child mortality. By focusing on life expectancy after the first year, this metric also helps to isolate the impact of factors affecting infants from those affecting older children and adults.
The Importance of Life Expectancy at Age 1 for Males
Understanding the life expectancy of males at age 1 is vital for several reasons. Firstly, it serves as an indicator of the overall health environment that children are growing up in, reflecting factors such as nutritional status, access to medical care, and public health policies. Secondly, it helps in planning and resource allocation in healthcare and social services, ensuring that adequate provisions are made for child health and development. Additionally, this metric can guide interventions aimed at reducing child mortality and improving life expectancy, thereby contributing to the socio-economic development of a region.
Strengths and Limitations of Life Expectancy at Age 1 (Years), Males
While life expectancy at age 1 for males is a valuable demographic tool, it comes with its own set of strengths and limitations that must be considered.
Strengths
This measure provides a focused perspective on the survival prospects of males after the critical first year, highlighting improvements or declines in child health over time. It is instrumental in international health comparisons, offering a standardized metric to gauge and compare the health outcomes of different populations. Furthermore, it aids in monitoring the impact of specific health interventions targeted at reducing child mortality, thereby facilitating policy adjustments and resource reallocation as needed.
Limitations
However, the calculation of life expectancy at age 1 for males depends heavily on the accuracy and completeness of mortality data, which can vary significantly between regions and over time. In areas with poor health surveillance and data collection, estimates may be less reliable. Additionally, this measure does not account for the quality of life or the distribution of health outcomes within the population. It also overlooks the broader socio-economic factors that can influence mortality rates, such as economic instability, social inequality, and access to education.
Moreover, life expectancy at age 1 is a static measure and does not reflect changes in health policies or economic conditions that could affect future mortality rates. As such, while it is a useful indicator for current health conditions and interventions, it should be interpreted with caution and supplemented with other health and demographic data for a more comprehensive analysis.