Indicator 1: Income Per Person's Higher Life Expectancy?

Health status improves at each step up the income and social hierarchy. High income determines living conditions such as safe housing and ability to buy sufficient good food. The healthiest populations are those in societies which are prosperous and have an equitable distribution of wealth.

Depending on where you live and how much your income is you may live a healthier and longer live . Richer people may look down and discriminate against poorer individuals.

21) According to the best available estimates, social circumstances impact what portion of the population's early death?

Socio-economic class or socio-economic status (SES) may refer to mixture of various factors such as poverty, occupation and environment. It is a way of measuring the standard and quality of life of individuals and families in society using social and economic factors that affect health and wellbeing ( Giddens and Sutton, 2013). Cockerham (2007 p75) argues: ‘Social class or socioeconomic status (SES) is the strongest predictor of health, disease causation and longevity in medical sociology.’ Research in the 1990s, (Drever and Whitehead, 1997) found out that people in higher SES are generally healthier, and live longer than those in lower SES.

Three demographic indicators of development include, but are not limited to natural increase rate, education level, and infant mortality rate. Natural increase helps determine the level of development of a country because if there is a positive increase rate, it shows that people are living to a reasonable age and children are being born and surviving. Education level determines the future of the country’s economy because if people are more educated the country’s economy most likely will become better. Infant mortality rate helps to determine the level of development in a country because it gives a good representation of the state of the medical facilities in the country and the mother’s need to have multiple children.

Image: Index of health and social factors – life expectancy; maths and literacy; infant mortality; homicides; imprisonment; teenage births; trust; obesity; mental illness, including drug and alcohol addiction; and social mobility – relative to income inequality. (Wilkinson and Pickett, 2009).

The primary reason for the vast increase in life expectancy in developed countries in the 20th century is universal clean drinking water and very high level of public and personal hygiene. These two improvements account for probably 80%of the life expectancy. Overall life

First, there is Jim Taylor, Hospital CEO, District 16; second, Tondra Young, Clinical Lab Supervisor, District 24; lastly, Corey Anderson, Floor Technician, District 21. The population of each district decreases in average income, education level and life expectancy than its preceding district, beginning with district 16, Jim Taylor’s district. District 16 has an average combined household income of approximately $120,000/ annually. In this district, 65% of the population has a college degree and the life expectancy in this district is 82 years. Whereas, Tondra Young’s district, district 24, has an average combined household income of $70,000/annually and 15% of the population has a college degree. The life expectancy of district 24 is 75 years, that’s 7 years less than district 16. In district 21, Corey Anderson’s district, the average combined household income is less than $50,000/ annually and only 5% of the districts population have college degrees. Consequently, the life expectancy of district 21 is 70 years, 5 years less than district 24 and 12 years less than district 16 (Adelman 2008). The results of this study are indisputable: there is an obvious correlation between social/economic status and health status. As each districts average income and education level decrease, average life expectancy coincides. This leads to the next question: why does social and economic status so greatly influence health status?

The cycle of life and death is a thing we all human must face. There is no immortality and we will all die eventually. When births is exceeding deaths, population grow and when deaths exceed births, populations decline. Recording the events of births and deaths is the primary way to follow and predict changes in population size. An approach to this study is the use of life tables. It is a statistical device used to portray and summarize the mortality and survivorship of a given population. The purpose of this lab is to introduce life table construction, the different kinds of life tables and to show how different patterns of mortality may lead to different survivorship curves. This

In 1810, most countries were sick and poor, age expectance were below 40. There wasn’t much of an equality gap since all countries were on the same page. However, as the Industrial Revolution began, countries in Europe began to gain headway while colonized countries were still left in the dust. This is the first major, noticeable gap in global inequality was presented. Western countries began to get healthier and wealthier as time progressed with a couple countries like Japan following behind. During the Era of World War 2, a larger gap on global in equality is noticed where Western countries began to have a high life span consistency inching to 75 years while countries like China and African countries are still solidly hovering near the 40

The life in the U.S compared to that of the Soviet Union during the 60’s is an amazing phenomenon of a declining life expectancy in a highly developed country just like in the case of the Soviet Union during the 60’s down to the 70’s. The result of the life expectancy rate in the Soviet Union shows that there is only a small part to true informal changes in the state of living. However, the weak point of the measures of life expectancy is of vital importance, although another factor is the unfavourable selection of risks by war, thereby making a less valuable comparison between the international and inter temporal. Another factor is the logical difference between period and the measurement of the group of people sharing a common factor

There are five key health status indicators commonly used for countries. These indicators are infant mortality rate, life expectancy at birth, maternal mortality ratio, neonatal mortality rate, and under-5-mortality rate (childhood mortality rate). These indicators measure health status and make comparisons across people in the same country or across different countries (Skolnik, 2012). I believe the most important health status indicator in a poor is the life expectancy after birth. A very good example is a baby girl born in Japan is expected live to 85 years of age, have enough food in the table, vaccinated, and have a good education versus to the baby girl born in Sierra Leon is expected to live of just 36 years of age, have no food

(de Haan, 1996) Many middle income countries have fairly stable political systems; however coups and regime changes do occur. This has a negative affect on economic growth and is an indicator that GNP will be lower than otherwise possible. Life expectancy in the countries also tends to be lower than in high income countries. In middle income countries the life expectancy is around 50 years.(Dwyer, 2005) The main reasons that populations in middle income countries experience shorter life expectancy are reduced access to healthcare, substandard living conditions and lack of variety in diet.

I will consider life expectancy, maternal mortality and infant mortality as indicators of global health and analyze their intercountry and time changes.

According the Samuel. H. Preston, there is an empirical cross-sectional relationship between life expectancy and income. Named after him, the Preston Curve shows that there is in fact a positive correlation between the two variables.