Blog Feed

Jonae Johnson

Ms. I

Statistics

15 January 2017

How Does the Age of First Marriages Affect the Total Number of New Births ?

As of today the population size for Japan is 127.3 million people, and Sri Lanka’s population is 20.48 million. Sri Lanka is a lot smaller than Japan is, but they both are pretty small compared to other countries. A lot of the families in Japan live in a middle class life style. Most families in Sri Lanka were lower class. Throughout the years as the age of first marriage increased the numbers of new birth stayed the same in Japan and in Sri Lanka.

Over the years in the population for Japan has increased at a steady rate. There life expectancy rate in the year of 2012 is 83 years old. In japan women first marriage was at the age 30. The average family would have up to at least two kids. This all is important because without this information we would have reason for why the new birth rate is where it is. The new birth rate at the age of first marriage has been steady over the past century.

Sri Lanka is a pretty small country compared to a lot of other countries. There life expectancy rate is around 75 years old. Sri Lanka average age for first marriage is between the age of 18 and 25. The average family has about three kids per household. This important to know because it will help understand why Sri Lanka has a steady rate for new birth rate.

These two countries are similar in some ways, both countries are about 4,000 miles from each other. Both countries use to have assigned marriages, where they would set their children up to be married.

The two countries have more difference than similarities. Sri Lanka is smaller than Japan. They always married their kids at young age. Most of the families in Sri Lanka are lower class compared to Japan where a lot of the families are middle class.

The x axis is represented by the age of 1st marriage, women. The y axis is represented by the new births in that country. In the second graph I focused more on Japan and Sri Lanka. This is a no correlation. The size of the bubbles represent the population size. The color represent the different countries. Looking at the graph the countries over time are staying constant in the numbers of new births. The countries mostly steady throughout the years. Sri Lanka had a jump in 1800 when the birth rates increased. Japan age at first marriage jumped back a couple of years around the year 1800. The age of first marriage began to get older and older. The birth rate however continue to stay relatively normal. It slight decreased in Japan. In Sri Lanka in the year of 1883 the age of first marriage increased to 17 years old, the birth rate increased also. I found that when people got older and got married they began to have more kids. In Japan the older they got the less kids they decided to have.

This is the population of Japan over the past 10 years. The population has not been at a steady rate. Around 2009 the population decreased a little. From 2012 until now the population continued to decrease, and shows not effort to increase.

Income Per Person and Primary School Completion among Countries around the World

In America, education is a right that everyone is given. This is not what it is like around the world. Children around the world are not getting their birthright of a proper primary education. It has become depressing that some children are not being able to complete their primary education because of financial need. All around the world, there is a positive correlation that shows when the income per person is higher in a country the country has a higher percent of children completing primary school. Education is a human right that everybody should receive easily. Countries with lower average income per person have lower primary school completion rates because the countries are not funding the schools and parents cannot afford the fees.

The first thing that we must look at is what causes students to drop out. Students around the world drop out for many reasons, including having to work and help out with their family, they might be very ill, or most commonly their family cannot afford schooling. Taken from the United Nations Educational, Scientific, and Cultural Organization report of Education For All Global Monitoring Report, there is a paper titled School Drop out: Patterns, Causes, Changes, and Policies, “There are many factors associated with dropout, some of which belong to the individual, such as poor health or malnutrition and motivation. Others emerge from children’s household situations such as child labour and poverty.” This quote means that sometimes children drop out of school because they have to work to afford to live and get their family out of poverty or it could also be because they are too sick to continue going to school. In this graph from gapminder who collects data from various sources, we can see that there is a problem particularly in Africa, which are the blue dots. This data is collected from the World Bank and other various sources.      

This graph shows income per person, GDP per country and Primary School Completion for the same country. Income Per Person is the explanatory variable in this instance and primary school education is the response variable. This is because primary school completion is dependent on income per person. The size of the bubble represents the population of the country. Green represents the Americas, Red represents Asia and Australia, Blue is Africa, Yellow is Europe. This graph shows a small correlation between the income per person and the primary school completion, but it is evident what is happening all around the world. You can see the trend, where countries that have less income per person means there is less primary school education. Overall, there is a pattern but if you look at the trend within specific countries there is not a trend. This can be backed up with my reasoning that students drop out of school to work and make money for their family.

All around the world, there are barriers to education. The biggest barriers would be a lack of funding of education, not having a classroom and/or lack of learning materials, hunger, and the expense of education (formal and informal fees). From the Global Citizen, an article titled 10 barriers to education around the world there is a quote, “In many countries in Africa, while education is theoretically free, in practice ‘informal fees’ see parents forced to pay for ‘compulsory items’ like uniforms, books, pens, extra lessons, exam fees or funds to support the school buildings.” This quote is specifically mentioning Africa and the fact that education is free but there are hidden costs that hit the family hard. These fees are necessary and commonly send families into a cycle among generations of poverty because of them. This happens because if a family is spending an overwhelming amount of money in hidden fees for school they will not be able to crawl out of poverty. This means that their children are going to have to live in poverty and then have children and having to pay their hidden school fees. There is just an overall lack of money going towards a proper education for the children in these countries.

As we follow few countries on the graph we begin to see how each individual country follows the standard of more money more school completion.

For example, Bermuda, the green trail (which means that it is in the Americas) to the right of the graph. You can see the as the income per person rises so does the primary school completion, as well as Columbia. While there are some countries that do not follow this trend and this is because of other things happening within the country, like war. In Qatar, if you follow the trend you see that as income per person goes down primary school completion goes down as well.

Financing education is very different to for some families around the world. While education is free in many countries around the world, families still cannot afford to send their children because they live in extreme poverty. From an article published by Our World In Data titled Financing Education, there is a quote “The second half of the 20th century marked the beginning of education expansion as a global phenomenon. Available data shows that by 1990 government spending on education as a share of national income in many developing countries was already close to the average observed in developed countries.” This quote means that during the 20th-century education became expanded to underdeveloped countries, like those in Africa. These underdeveloped countries education systems are now similar to developed countries. Although, there are still children unable to complete their education.

To answer my research question, How does income per person affect primary school completion in countries around the world? I graphed income per person as the explanatory variable, and primary completion as the response variable. The explanatory variable is on the x-axis which is on a logarithmic scale and the response variable on the y-axis which is on a linear scale. The data shown in my graph was collected by the World Bank and put together by Gapminder. The size of the bubbles represents the population of each country. Looking at each country separately you could say that some have positive correlations while others have no correlations, there are sharp increases and decreases in each of the countries. When you look at my graph you can see that there really is no pattern as to where they start, they all start at the amount that a person is making per year. You can see that Albania and Hong Kong, China follow the same kind of pattern which is no correlation between the two variables. You can also see that Columbia and Bermuda follow the same kind of pattern which is a positive correlation between the two variables. A positive correlation on this graph would mean that when the income per person rises, the primary school completion rises with it. You can conclude that countries that make more money have more students finish primary school.

In conclusion, It is more likely for a child who lives in poverty to not complete primary school compared to a child that does not. This is because of the overall lack of money that parents can afford for formal and informal fees, the fact that some children have to quit school and work to provide for their family, or that some schools do not have enough funding to create a good enough learning environment. This is important to learn about and do more research because there are a lot of things we can do to help the children in need of their human right to a proper education. We can donate money, or even travel to these places to help the children learn and grow. We can see that governments in countries all around the world are starting to give more money to education but it is still not enough for some people.

Works Cited

"10 barriers to education around the world." Global Citizen. Write To Learn, 2 June 2014. Web. 10

Jan. 2017.

Roser, Max, and Esteban Ortiz-Ospina. "Financing Education." Our World In Data. N.p., n.d. Web.

10 Jan. 2017.

School Drop out: Patterns, Causes, Changes and Policies . Tech. N.p.: United Nations Educational,

Scientific, and Cultural Organization, 2011. Print.

Shah Follow, Jamal. "Causes and effects of dropouts at primary level." Share and Discover

Knowledge on LinkedIn SlideShare. N.p., 13 Feb. 2014. Web. 10 Jan. 2017.

The food supply affects life expectancy is proper nutrition. Eating healthy is the most effective and sometimes expensive way to decrease the fear of diseases ending your life or causing major complications. According to Audre Biciunaite, “.The most obvious explanation behind the connection between life expectancy and income is the effect of food supply on mortality. Historically, there have been statistically convincing parallels between prices of food and mortality.”

Overall, the life expectancy of my countries are in a positive correlation. Haiti's correlation is all over the place because climate change and earthquakes. Japan and Germany goes in a positive correlation because they both have equal amounts of food supply and decrease and increasing life expectancy. This is because in places like Haiti, food is scarce because they have a lot of natural disasters that makes the food supply decrease and as a result, life expectancy drops. In the other countries, Natural disasters are less likely to occur so, food supply is leveled and so their life expectancy.

In the graph above, there are two images of graphs from gapminder. As you can see Haiti’s data is in a S shape. In the data, you can see that Haiti has had some decrease in food supply and life expectancy. The cause of that is because of the climate changes and natural disasters occurring. When looking at Japan’s data, overtime life expectancy and the food supply is increasing. Then life expectancy starts to increase more than food supply starts to decrease. The cause of this is because people traveled to the countryside to get their food and in the early stages war was reasonable. When looking Germany’s data, the life expectancy and food supply is increasing. These data points show the increasing and decreasing of food supply and life expectancy throughout the years.

Living in a country like Haiti is difficult due to the common natural disasters including severe storms, flooding, landslides, drought and the devastating earthquake that rocked the country on 12 January 2010 that have been occurring for the past two decades. A lot of people who live in Haiti, such as some relatives of mine, do not have access to water, electricity, health benefits or somewhere that is clean/sanitized. The cause of food supply decreasing is because of the storms. A lot of Haitians grow everything they eat and go fishing. When huge storms hit them, the food supply decreases drastically. “According to the latest WHO data published in 2015 life expectancy in Haiti is: Male 61.5, female 65.5 and total life expectancy is 63.5 which gives Haiti a World Life Expectancy ranking of 144. You can see the top 20 causes of death data and rankings for Haiti by clicking on the links below or select the full country health profile at the bottom of the page.”

In a country like Japan, food is their culture. They have a wide variety of food. Being as though their food plays a major role in their country, “uniquely reflects the natural environment, regional diversity and underlying value system of this resilient country, says Brendan FD Barrett”. Their food supply are always increasing in numbers because everything they eat are grown from the ground by them. Then the food supply started to decrease a bit because people stopped farming and they started to import goods from other countries which increased in Japan. The largest amount of imported food comes from the United States followed by China, of course. According to nbc news by Geoffrey Cain, a globalpost correspondent, “The Japanese have the highest life expectancy of any major country. Women on average live to 87 and men to 80 (compared to 81 years for American women and 76 for American men). The Japanese can live 75 of those years disability free and fully healthy, according to the World Health Organization.”

In germany, the living is fair… not too bad. According to Better Life Index, “Germany performs well in many measures of well-being relative to most other countries in the Better Life Index. Germany ranks above the average in education and skills, work-life balance, jobs and earnings, environmental quality, social connections, housing, personal security and subjective well-being.” When looking at the graph, germany has had a steady increase of food supply. “According to the latest WHO data published in 2015 life expectancy in Germany is: Male 78.7, female 83.4 and total life expectancy is 81.0 which gives Germany a World Life Expectancy ranking of 24. You can see the top 20 causes of death data and rankings for Germany by clicking on the links below or select the full country health profile at the bottom of the page”.

These countries have different data. Some of the life expectancy depends on the food supply whereas the food supply depend on the life expectancy. In haiti, life expectancy has been decreasing over the past two decades due to natural disasters that made a negative impact on the food supply. The citizens of Haiti depend on their crops to feed their families and survive. In Japan, food supply is increasing and so is Life expectancy. In japan, they have a strict diet. Mostly growing their food, but then they started to import specific foods such as soy and wheat. One thing that I found interesting is that Japan has the highest life expectancy in the world because the diet they stick to is healthy. As they get older, they start to eat more vegetables. A combination of small portions, lower-calorie foods like fish and vegetables, and beautiful eye-appealing dishes all contribute to a longer and healthier lifespan, argues Naomi Moriyama in her co-authored book "Japanese Women Don't Get Old or Fat: Secrets of My Mother's Tokyo Kitchen." In Germany, the life expectancy and food supply are increasing in a steady rate. As far as making a living, Germany has been living well in debt free. They rank the highest in education and skills which is a plus to making a living.

Life expectancy of my countries are in a positive correlation. Haiti's correlation is all over the place because climate change and earthquakes. overtime life expectancy and the food supply is increasing. Then life expectancy starts to increase more than food supply starts to decrease. The cause of this is because people traveled to the countryside to get their food and in the early stages war was reasonable. When looking Germany’s data, the life expectancy and food supply is increasing. These data points show the increasing and decreasing of food supply and life expectancy throughout the years.

                                   Reference Page :

"Life Expectancy in Germany." World Life Expectancy. N.p., n.d. Web. 24 Jan. 2017.

"Germany." OECD Better Life Index. N.p., n.d. Web. 24 Jan. 2017.

OurWorld20. "Future of Food in Japan." Our World. N.p., n.d. Web. 24 Jan. 2017.

Correspondent, Geoffrey Cain GlobalPost. NBCNews.com. NBCUniversal News Group,    17 June 2014. Web. 24 Jan. 2017.

Lucia Idriss

01/10/17

Mrs. I

Statistics

There is no correlation between HIV and life expectancy in females within the countries of Sierra Leone and Italy.HUMAN IMMUNODEFICIENCY VIRUS ( HIV) "Unlike some other viruses, the human body can’t get rid of HIV completely. So once you have HIV, you have it for life. HIV attacks the body’s immune system, specifically the CD4 cells (T cells), which help the immune system fight off infections. If left untreated, HIV reduces the number of CD4 cells (T cells) in the body, making the person more likely to get infections or infection-related cancers. Over time, HIV can destroy so many of these cells that the body can’t fight off infections and disease. HIV is an easily contracted disease that can be transmitted through breast milk, sexual activities, and also blood.Countries such as Sierra Leone are underdeveloped and do not have access to all the resources needed to sustain incurable diseases such as HIV, whereas Italy has that kind of access because they are a more developed country.  I wanted to learn more about those whom have been infected and why they’ve been infected. To truly determine what the data points on the graph represent, from the least to the greatest. So now I will test whether your location and income affect the life expectancy in women with HIV.

When I first began I asked myself questions such as : How many of these women were sexually active before marriage and where these women sexually abused to contract HIV? So I took those questions to the web to find out that, yes sexual abuse was used as a form for some of these woman to contract HIV, especially in Sierra Leone during the war time. As I searched around even further I came an article ( lifeinitaly.com ) says “ In the past sex was viewed as a taboo subject. In Italy, like so many other European countries, this was perhaps mostly due to the powerful influence of the Catholic Church on Italian society. Sex was not a topic discussed by people in public, nor did it have a presence in the media.” and “ The average age for the first sexual experience is currently 17 in Italy. This is a difference of up to four years compared to the past, in particular the 30's-40's, when women generally had sex for the first time when they were, on average, 21-22 years old. Not only has the age for first experience changed but so has the context.” So could this also be a reason as to why HIV has such a high testing rate in Italy? Yes. And that evidence can be found on the gapminder graph that I have created.

The graph on gapminder tells a story of the women in Italy and Sierra Leone living with the HIV disease. In the graph you can clearly see that there is no positive nor negative correlation between the two countries. But you can also see that Italy has a larger bubble and also a longer life expectancy than women in Sierra Leone. The bubble represents the amount of women infected by the HIV disease, but how is it that they are living longer than the women who actually have  a lower HIV infection? Poverty, many women in Sierra Leone live in poverty, they are not expected to live as long because treatment in sometimes non affordable so they wind up passing because they can no longer take care of themselves. But as for the women in Italy they are more financially equipped so they can then actually take care of themselves to live much longer. The graph’s story has been told as to what the bubbles and correlations represent.

Now I also asked myself “ does living circumstances affect treatment availability? “ and my answer to that is yes. Some people who have been diagnosed with HIV cannot afford treatment because they are too poor, but based off of the graph that seems to have not affected the life expectancy for those women whom have been diagnosed. But in recent affairs I have noticed that the graph in 1990 Italy’s life expectancy increased, and there must have been a more affordable access to the treatment. This same increase also happened in Sierra leone in 2000 and remained at that same rate in 2006 going forward. So I believe the same affect that happened in Italy also Happened in Sierra Leone.  

In conclusion, from my research I can say that HIV does affect life expectancy in Females, and I can conclude that your financial statement also plays a part in whether or not you will receive treatment for the HIV disease. But I can still remain to say that there is no correlation on the graph determining life expectancy and HIV in Sierra Leone and Italy.  

How Does Income Affect the Child Morality Rate In Australia and Costa Rica?

The country of Australia is known as one of the most highly developed, new world countries, especially when you compare it to a country that’s not as developed like Costa Rica. Since the country of Costa Rica, and all that it has to offer is less developed, we see that there is a higher infant mortality rate opposed to Australia. Mortality, otherwise known as death, is the measure of the number of deaths which belong to a specific population, which also counters the population, and amount of time in which people died. Since the general income per person increases at a daily rate, the child morality rate decreases for both countries, however it’s decreasing at a faster rate for Australia. The generalization leads one person to think that the more developed country is, the more likely they are to have a constant decrease in negative statistics such as the child mortality. This is a study and interpretation of information received and graphs created in order to answer the essential question. How Does Income Affect the Child Morality Rate In Australia and Costa Rica?

Since the year 1990, the world has cut its infant mortality rate down by nearly 50 percent. This is great progress but it still falls short from the goal that is trying to be achieved, which is a reduction of two thirds. “Since the beginning of the age of the Enlightenment and over the course of modernization, the mortality of children below 5 years of age has declined rapidly. Child mortality in rich countries today is much lower than 1%. This is a very recent development and was only reached after a hundredfold decline in child mortality in these countries.”(Roser, Child Mortality). The previous graph is a representation of the world Infant Mortality rate compared to the average income in each country. As you can see, as the annual income per person increases, the infant mortality rate decreases In the year 2015, about 11 children died per minute which promotes the idea that the survival of children should be a top priority. Bigger countries such as Russia or Canada have have a high decrease of  Below is a list of the world’s countries with the highest infant mortality rate from the CIA world factbook, on this list Costa Rica is number 151 and Australia is 188 which doesn’t seem to be that much of a place difference but the numbers hold a significant difference from each other

In the graph above, the X axis is represented Income per person and the Y axis is represented by child mortality rate. The data was collected by an international census, each circle is represented by the total population. The Y value decreases as the X value increases, this is a negative correlation. There doesn’t seem to be any sharp increases or drops. The highest point is at 8K and 160 and the lowest point is at 80k and 2.5. The colors represent the region and I am choosing to represent Costa Rica and Australia. The scale doubles on the X and Y axis. The countries compare to be very close.

Costa Rica has an infant mortality rate of roughly 8.3 deaths per one thousand births and and an annual GDP of approximately 16,100 dollars per person. Australia on the other hand has an infant mortality rate of 4.3 deaths per one thousand births and an annual GDP of 48,800 dollars per person. As you can see in the graph above, as time goes on while the income per person continues to increase, the infant mortality rate continues to steadily incline despite some minor spikes throughout history.

High infant mortality rates could be a result of improper childcare. A population of people with unhealthy and disease ridden children who will grow up and become sickly adults prone to sickness, halts the economic progress of a country. An increased fertility rate could result in a health decline for the mother. Pregnancies later on in the life of a physically ill mother will result in malnourished and sick children with little chances of survival both before and after birth. It damages the later generations by decreasing the enrollment rate of children in school and it increases the cost of medical care, taking away needed resources from clients.

Declining poverty rates and increasing knowledge and service in the health sector, child mortality worldwide is facing a rapid decline: Global child mortality fell from 18.2 percent to 4.3 percent in between 1960 and 2015. 4.3 percent is still high but it is very progressive. In the year 1990, 7.6 million children died before the age of five, this number then decreased to 3.7 million in 2013. This decrease happened when there was a global baby boom. Bigger countries have decreased their child mortality rate 10 times over the past 40 years. Other countries, mainly in Africa, continue to have high infant mortality rates. On the other hand, these countries are still making progress, like in Sub Saharan Africa where the infant mortality rate has been at a steady decrease for the past 50 years.

Taalib Coffield

Ms.Isakowitz

1.10.17

Statistics

Suicide is the third leading cause of death for people ages 15-24 all over the world according to the Centers for Disease Control and Prevention. I researched how a country’s average income affects the country’s suicide rates. Within my research I found out some important information that is useful and informative. Through graphical analysis, I have found that there is no major correlation between suicides being high amongst high income countries and vice versa. There is also no major correlation between high suicide rates amongst low income countries. I found out that middle income countries have an exceeding high suicide rate. Through my research, I will try to explain how other resources were wrong when they came to the conclusion suicide rates are the highest amongst high income countries. Instead I’ve found rates to be the highest in middle income Countries based off of my evidence I found that to not be true, also I will explain why the suicide rates are what they are in each income country. The hope is to gain knowledge of how does income affect the low, middle, and high income countries.

       Low income countries are fairly accused of having high suicide rates because they’re low in the economic level according to Huffington Post. Also, In many resources from Huffington Post. I found it is more common that high suicide rates come from high income countries. As I did my own research I started to realize that that wasn’t the occasion anymore.Based off of graphical analysis, suicides do happen in Low income Countries however, the most suicides do not come from low income countries as many believed before.  There is some level of suicide rates in the low  income countries, and my question is why? During my research I seen that Afghanistan was a low income country that had a low suicide rate, but still had a suicide rate. The income of Afghanistan in the year 2002 was $647dollars with a suicide rate of 5.4 per 100,000 people. According to my Gapminder Graph.

( Figure 1 )

This proves that many people think that there were massive amount of suicides within the low income countries. However, based off of Afghanistan and later research, I can say that this rate is kind of low. Still I wonder to myself why are there 5.4 per 100,000 suicides still? Many of the suicides that happen in Afghanistan mainly come from women who have been forced into marriages, that is rape victims, and that is victims of domestic violence. Based off of “Report: Suicide Deaths in Afghanistan Higher Than Murders, War Deaths Combined by Edwin Mora” Looking at the graph you see a tiny increase in the amount of suicides of 10 people from 2003 to 2004. Suicides are bad no matter how much the number of people are, however looking at my graphs and correlating it to other resources has enlightened me. There are not as many suicides in low income countries than there is in middle or high income countries.

          High income countries are what you can call the wealthiest. The country that has the most money, but does that mean the more money higher the suicide rates? Like many articles I have read for instance “ Why Are Suicides More Common In Richer Neighborhoods” by Josh Sanburn have said that most suicide rates come from people with more money. Now this may be talking about neighborhoods or people,  however neighborhoods coexist within a country, and people coexist within the neighborhood which will ultimately means the same thing. Now based off of graphical studies ( Figure 1)  I have seen that in many of the wealthiest countries I researched there is not an over exceeding amount of suicides.  Reading the article ( Why Suicides Are More Common in Richer Neighborhoods )you would think that Suicides basically only come from those people who have a higher income and nowhere else really. However, I found that to not be true. I have found that  suicides are high in high income countries, but they do not have the HIGHEST suicide rates like many acclaim. United States was the richest country of the countries I researched. I found that the United States have an income of 15,300, while it has 11.2 suicides per 100,000 people in the most recent year: 2004. ( Record: Figure 1 ) It has been made clear that STILL high income countries don’t have the highest amount of suicides, but they still have a pretty large amount. Suicide rates have jumped tremendously in the last 30 years according to “U.S. Suicide Rate Surges to a 30-Year High” by Sabrina Tavernise. Women in their middles ages tend to be the biggest group that suffer from suicides. I will say it affects women in their middle age the most normally during this time Women start to become mothers, go though manipulate and it creates a mid life crisis. This is what leads many Women to suicide. Through research I have gathered, especially in the United States who has the highest income suicide rates come from mid life crisis. Not because so many Rich people get tired of their life as Josh Sanburn implied in his article. Suicide rates are high in The United States, but they are not high as one other country.

      China is a middle income country that has an income per person of $5,680. The suicide rate however is 16.9 per 100,000 people. As I was hinting in my other graph analysis’s, suicide rates are the highest in the MIDDLE income countries. Now this is surprising because many other articles have swore up and down that High income countries, and low income countries have had the highest suicide rates. ( According to sites below. ) While in my research I have seen that that is not the case, it is the total opposite in fact. China is one of the highest suicidal countries in the world. ( Figure 1 ) It mainly comes from Women as it does in many other countries. Although, the reasons behind it is different. Women in China tend to commit suicide because many women are stressing, and people have diseases such as bronchitis and cancer. That causes women to end their life because of the pain and infliction they go through. This is shocking to me because so many articles I’ve read has said middle income countries aren’t really the ones affected by income. I personally think that this happens in middle income countries because the middle tries to live a higher income life acting as if they are rich, while kind of in reality many people still have an income that relates more to the low income pool of things. This makes a lot of sense, because they seem to stress between the two lives of high income and low income. It makes people become stressful, which may lead to being overwhelmed that may cause suicide. Along this graph I was able to see that the income level with the most suicides come from a middle income level instead of low or high.

           In conclusion, I have proved that Suicide rates are most excessive in the middle income countries instead of the high and low income countries. There has been multiple articles ( at the bottom of page )  that seems to think that middle income countries are the least of worries. My research has told me otherwise. Depending on the different countries you decide to study in depth, my conclusion may change but in these circumstances my theory remains.

Work Cited:

http://www.suicide.org/suicide-statistics.html#death-rates

http://www.nytimes.com/2016/04/22/health/us-suicide-rate-surges-to-a-30-year-high.html?_r=0

http://www.cnn.com/2016/04/22/health/suicide-rates-rise/

http://business.time.com/2012/11/08/why-suicides-are-more-common-in-richer-neighbor

hoods/

http://www.sras.org/how_does_income_affect_suicide_rates

http://www.huffingtonpost.com/2012/11/09/suicide-rate-rich-neighborhoods_n_2102777.html

    For my Quarter 2 project, I decided to limited palette painting. With limited palette painting, ONLY use 3 different colors of your choice to make other color using the 3 colors of your choice. I chose limited palette painting because I found it more difficult and challenging to do. Simply because, when you have created a piece of work and want to add color you would want to color with many choices. But, with this type of art your challenge is designing with only 3 colors which is difficult. My overall vision was to create a painting of flowers. Personally, I love flowers. The colors I chose were to have a specific meaning pertaining to myself. Flowers represent a sign of peace to me.

   In my piece, I believe that my artwork does not look like it was my first time painting opposed from my first painting in Q1 color wheel. My art is unique so I do not believe it fits into any specific category. Flowers reflect upon my own life by representing the death and reproduction. When one flower dies another grows. Never keep watering a dead flower with or without that dead flower there are many more flowers that are willing to grow. In life you lose many things, but for every loss there is a win of something new entering your life. My work and words could influence people to keep pushing in life no matter what dies off.

   Color is important in this project because that is the main thing that is being used to create this portrait. Overall, my project could have been represented better in connections with these my storyline behind it, but it was what was still enough to incorporate the idea.

My 3D project shows a home. I decided to design that because I feel as though that is where everyone feels or should feel comfortable there. Houses come in many different designs but I chose this one because I like the way it looks. At first, I had to figure out how to use Tinkercad and it’s different tools. I was required to complete three lessons that was given to me on the Tinkercad website. One of my failures was scaling the car and garage. The car was way too big to ever fit in the garage so I had to make the car smaller. I didn’t have any other failures, other things were tweaks to make the design look better. I learned that making a design on any website or designing program is not simple. There is a lot of measuring and you can never make your design perfect on your first try. You will need to edit and tweak some things to make it look nice in your eyes and other people’s eyes. I learned that I tend to not try my hardest when I think a project is simple or not complex. I misunderstood the level of difficulty of this project and didn’t try my best with the design or with the process of this project. I would spend more time actually perfecting the design if I was able to re-do this project. That would give me the time to be more creative with my design and make it look way better. I would advise that no one should underestimate this project, especially if you are working on 3D modeling. This project didn’t give me any inspiration, it just showed me what it’s like to work on a project that has to do with computer modelling. This tool let me show visually that you should always feel comfortable at home or know that there is no place like home. I designed a home so the thought of someone being comfortable at their own home. Hopefully this inspired them to design their very own house and whenever they need to make themselves feel comfortable, they look at their design.