In this essay I will be comparing and contrasting the data provided on the United States and Rwanda.
GDP PER CAPITA
The GDP per capita is the gross domestic product per person. This is the income of the country divided by the population. THE US has a higher GDP of 56,207,04$ as shown in table 1.This means that the United States economy is rising at that there is an increase in productivity .Rwanda has a low GDP per capita as shown in table 2 .this means that the economy of Rwanda isn’t efficient and this tells us that country is suffering from poverty and corrupted and inefficient government. The GDP per capita comparisons shows us that the US performance is higher
GROSS DOMESTIC PRODUCT
This is a way in which a country can measure its economy. THE United States has a higher GDP of 18.04trilion$ as shown in table 1.This means that the US is increasing the amount of production that is taking place in the economy and the people have a higher income and hence are
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The United States has a high death rate of 8.41deaths/thousand as shown in table 1 .This happens because the United States have a much higher proportion of older people ,due to low birth rates and mortality rates .Rwanda has a high death rate of 6.43 deaths/thousand .They have a low proportion of older people due to a high birth rate and mortality rate .
Life expectancy
The average number of years a person can live .Rwanda has a low life expectancy of 65.788 years as shown in table 2 due to its poor health care and nutrition .They are also effected by the socioeconomic factors .Rwanda also doesn’t have a proper educational system therefore the people do not get jobs so they are not able to pay for the medicines they might need .The United STATES has a high life expectancy of 79.501 years as shown in table one .This tells us that the quality of health care and quality of life is very good in the United states.
TOTAL FERTILITY
The United States of America, the self-proclaimed sole remaining superpower, often touts that it is the greatest nation in the world. Yet, when the data is analyzed, this claim is proven time and time again to be wrong, whether it is math or science, literacy or numbers, household income or workforce. Time and time again, and the numbers continue to slip. Healthcare is no exception. In 2012, the United States ranked thirty-second worldwide in life expectancy (Avendano and Kawachi 2014). Of the thirty-four Organization for Economic Co-operation and Development (OECD) nations in 2010, the United States ranked twenty-sixth in infant mortality (MacDorman et al. 2010). In a 1998 study of thirteen developed nations (Australia, Belgium, Canada, Denmark, Finland, France, Germany, Japan, Netherlands, Spain, Sweden, United Kingdom, and United States), the United States ranked, on average, twelfth. The rankings for the United States on each of the sixteen health indicators was: thirteenth for low-birth-weight percentages; thirteenth for neonatal mortality and infant mortality overall; eleventh for post neonatal mortality; thirteenth for years of potential life lost (excluding external causes); eleventh for life expectancy at one year for females and twelfth for males; tenth for life expectancy at fifteen years for females and twelfth for males; tenth for life expectancy at forty years for females and ninth for males; seventh for life expectancy at sixty-five years for
Gross Domestic Product or GDP, represents all the goods and services produced within a country’s borders. Measurement of gross domestic products is based on consumption, government spending (at all levels of government), investment, and exports minus imports. The formula for GDP is C + G + I + (X – M). (Colorado Technical University [CTU], 2016). According to the given information the formula for Country A the GDP would be
GDP, or gross domestic product, is the sum total value of all goods and services produced by a country within a given year. To achieve this sum, everything produced and exported, all of the money spent by consumers and government, investments, and many other contributing factors are calculated and combined. A nation’s GDP is used as the main indicator of the economic status of that nation. In general, the higher a country’s GDP is, the greater the health of that country’s economy. However, GDP is not as helpful or accurate a calculation as “real GDP”. Real GDP is a term that refers
I will compare the Holocaust and the genocide in Rwanda. I would also identify the aggressors, the target groups, the reasons why aggressors engaged in genocide. I will also explain what occurred, the attempts made to stop the genocide and by whom and analyze the outcomes. Last of all, contrast them. I will explain why it's so different.
The United States has a life expectancy of 78 years old, Sweden has a life expectancy of 81 years. This is strange because America has to pay for its healthcare but we still die sooner. In Sweden, everybody is covered for healthcare,while 15% of Americans don't have healthcare. They have public hospitals that everybody goes to and everybody gets treated the same. There are rumors that healthcare costs so much more for Americans because we are to unhealthy here and we spend more time in hospitals, but we actually spend much less time in hospitals than in Sweden. Everything
Rwanda is located in East Africa. Rwanda has a population of 12 million people and only 23% of this population has access to the electric grid. Rwanda boarders with Burundi in the south, Democratic Republic of Congo in the west, Tanzania in the East and Uganda in the North. It is a small, densely populated country, with an area of 3/4 of the Netherlands. Rwanda belongs to the 20 poorest countries in the world. However, economic growth was high in recent years, and the prospects for further development are good (World Bank, 2015).
William Hogan Research Paper Plan Title: Parallels between Holocaust and Rwandan Genocides Background Argument Counter Argument Rebuttal Conclusion Thesis: Genocide is important to understand so we can help prevent future violence on humanity. Political, cultural, economic, and ethnicity differences led to terrible modern day genocides in Rwanda and during the Holocaust. Parallels between the Holocaust and Rwandan genocides can be drawn from the role the state played in mobilizing, organizing, and allowing genocide to take place. 1st: 3-4 pages: synthesize and analyze research and give examples of genocide general, understanding, health, and Holocaust/Rwanda comparisons/differences.
The organization Peterson-Kaiser have developed a global heath system tracker. One area of health that Peterson-Kaiser focuses it statistics on is life expectancy. They state, “Longer life expectancy can reflect success of the health system in preventing, treating, and curing illness, but can also reflect changes in social or environmental factors” (https://www.healthsystemtracker.org/indicator/health-well-being/life-expectancy/). According to the OECD library the United States life expectancy is 78.8 years with Japan’s life expectancy being the highest at 83.9 years, and the average being 82 years of life (OECD). Another excellent way to compare health outcomes is to look at mortality rates. To quote Peterson-Kaiser, “Decreasing mortality rates can reflect success of the health system in preventing, treating, and curing disease, but can also reflect changes in social or environmental factors” (https://www.healthsystemtracker.org/indicator/health-well-being/mortality-rate/). Peterson-Kaiser has used the OECD library of data to determine overall age-adjusted mortality rate per 100,000 population within developed countries of the world. When viewing the data the United States overall mortality rate was 826 per 100,000 people while the average was 723
with 83 years as compared to 81 years (World Health Organisation, 2015). However, both countries show an increase in life expectancy as compared to what it was in 1970 (U.K. – 71.97 years and U.S.A. – 70.81 years) (World Bank) displaying the success of the healthcare quality implemented in both countries. According to the UNDP findings of 2012, 73% of the citizens in the United States of America are satisfied with the healthcare systems whereas 86% of the citizens are satisfied with the facilities in the United Kingdom (UNDP Human Development Report,
Armenia has a population of 3 million, which is approximately 100 times less than that of the United States. Languages include the Armenian native language and Russian. The average life expectancy at birth of 73.5 years in 2012, which shows that Armenia has lower average expectancy life compared to the United States. The health care expenditure per capita in Armenia was 150 (Worldbank, n.d.). Estimated gross domestic product (GDP) was 4.5% between 2012 and 2013. According to the WHO, health care expenditures should be more than 6-9% of GDP (Tonoyan & Muradyan, 2012). During the same period, the infant mortality rate was 15%-18% per 1,000 people, which was about three times higher than that of the United States (Boslaugh, 2013; Worldbank,
Why are Some Nations Rich and Others Poor? Introduction Over the years, a nation’s economy will change drastically and, due to a large variety of factors, there are now countries who are significantly wealthier than others. These factors range from lack of education, to lack of natural resources and all of them notably effect the economy of a country.
First of all, a study has shown that Americans have a lower life expectancy rate than those living in countries that have universal health care, even though the United States pay more for health care (Mahon, Weymouth, “U.S. Spends Far”). According to a study by the Commonwealth Fund, in 2009, the U.S. spent about 8,000 dollars per capita on health care (Mahon, Weymouth, “U.S. Spends Far”). Other countries, like Japan and New Zealand, spent one-third as much, or like Norway and Switzerland, spent two-thirds as much. A separate study by Global Research has shown that in 2007, among seventeen countries examined, U.S. ranked dead last in life expectancy for males (seventy-five years) and second to last for females (eighty years) (Randall, “U.S. Life Expectancy”). The same study shows that women in Japan, a
Prior to colonial era, Rwanda had larger population of Hutus compared to Tutsis and Twa. Rwanda as a country was divided into three ethnic groups i.e. Hutu (approximately about 85%), Tutsi (14%) and Twa (1%) (United Nations). Although, Tutsis were the minorities, they belonged to the higher strata compared to the other ethnic groups; Tutsis were privileged and had power and control over the Hutus and Twas. “Hutus were formerly bound to their Tutsi patrons via client ship” (Sinema, 2012). When Rwanda was colonized by Germany followed by Belgium, they favored Tutsis as they represented the upper class prior to the colonization. These created a social system like feudal system where there was a power difference between the Hutus and the Tutsis. Tutsis were considered as lord and the Hutus on the other hand, were considered as peasants. As a consequence, this created an ethic tension between the Hutus and the Tutsis and created a system more like apartheid. Nonetheless, they managed to co exist in Rwanda until they were decolonized. Although there is no social distinction between the Hutus and the Tutsis, the conflict between these tribes increased tremendously after the independence from Belgian that led to mass murder and ethnic cleansing of the Tutsi by the Hutu.
The definition of GDP is composed of four parts. Firstly, we have to take into consideration the market value of the products. Froyen (2009) states that in order to gain the market value of the product we have to times the number of products produced the market by the prices they are traded at for e. g. Each unit of
Medical knowledge is less than adequate in these societies, leading to much illness and a very high death rate. The infant mortality rate is overwhelmingly high, which is a reason for the high birth rates. Many infants do not make it through their first year of life before they get deathly ill - most of them do eventually die from their illness. The medical technology of modern society is so expensive to third world countries, making it extremely difficult for their society to stay healthy. Life expectancy is about 40-45 years in traditional societies.