Human Development Index Reports:

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Site Name: Human Development Reports

Overview:

Human Development Index: A field that was created to highlight people and their capabilities as a primary additional criteria beyond economic growth as a means of assessing the development of countries.

It is defined as the geometric mean of normalized indices for each of the three dimensions,” being longevity, education, and income. It assesses the development of the people in each country, as opposed to use of GNI, in a simplified manner, without additional factors such as inequalities, human security, and poverty.

HDI by Country

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Description: Customizable simulation of HDI overtime by country activated by mouse hover

Allows for effective overall visualization within larger context, as well as more specific, focused visualization according to each respective country.

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Description:

Further insights on inequality, gender development, and poverty are available at the following source:

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Key Insights

Global HDI Averages:

  • 0.739; life expectancy=72 years

  • Expected schooling=13 years

  • GNI/capita =$17,254

  • Europe and Central Asia have higher HDIs on average, while Sub-Saharan Africa has a lower HDI, reflecting disparities in human development levels between these countries. Higher HDIs often correlate to more established healthcare systems, educational infrastructure, and economies, while those with lower HDI have higher rates of crime and poverty and opportunities such as education and healthcare access.

Life Expectancy for Men and Women:

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Site Name: World Data.info

Overview: Birth and death rates may be compared between genders and countries to provide insights into gaps in life span between gender and between more developed and lesser developed countries.

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Description: The table displays the birth and dath rate from the year 2022 per 1,000 inhabitants that year. If no data was found for the year (in rare cases), data from a previous year was used.

Key Insights

    World Average Life Expectancy:

  • Men: 69.6 years
  • Women: 74.5 years

    • Highest Averages:

  • Men: Macao (82.8 years), Switzerland (81.6 years), Sweden (81.5 years).
  • Women: Macao (88.0 years), Japan (87.1 years), and Hong Kong (86.8 years)

    • Average Life Expectancy in the U.S.:

  • Men: 74.8 years
  • Women: 80.2 years

    • Average Life Expectancy in Europe:

  • Men: 78.2 years
  • Women: 83.6


  • Women typically live longer than men, with a slightly larger gap in more developed nations. The nations with the largest gaps include Russia (10.2-years), Belarus, Latvia, and Ukraine
  • European and East Asian Countries typically have life expectancies above 80 yrs for both genders. African countries have much lower life expectancies.
  • The higher the birth rate, often the lower the life expectancy. Developed nations more commonly have lower brith rates and higher life expectancies, while less developed nations have higher birth rates and lower life expectancies.

Expected Years of Schooling:

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Site Name: Gender Data Portal

Overview:

This data displays years of schooling for males vs females and total by country using an interactive visualization method. This source utalizates a variety of approaches, including maps, trend plots, scatterplots, bar graphs, tables, and more to convey the differences between country and gender. The consumer may choose to view by male, female, total, or gender gap, highlighting the variations between the variables globally and overtime.




Screenshot1 Visit Here

Description: This interactive map shows the smallest gender gap in areas such as Russia and the largest gender gap in parts of South America, Europe, and Africa. In Russia, males and females are generally equally educated. In North America and Australia and a large amount of South America, females are slightly more educated than their male counterparts. In many parts of Africa, men are more educated than women. However, gender gap does not assess the highest amount of education, only the comparison between genders. Parts of Euorpe, Australia, and Argentina have the highest amount of education, followed by the US., Canada, and much of the Rest of South America.

Screenshot2 Visit Here

Description: This plot captures education trends from 1970 to 2022 for men, women, and their combined totals. We may see a relatively steady upward trend in level of education over this time, and a decreasing disparity in schooling between genders. These differences began to largely disappear in the 2000s and have largely evened out since 2013 to present-day. At present, women are on average slightly more eduated than men worldwide.

Screenshot3 Visit Here

Description: GDP stands for Gross Domestic Product. A higher GDP is typically associated with a larger amount of expected schooling in its respective country. Accordingly, expected schooling is much lower in Sub-Suharan Africa and much higher in East Asia and the Pacific. However, given this correlation, we would expect North America to have a higher amount of expected education on average porportional to its very high GDP. Middle Eas, North Africa, Europe, Central Asia, Latin America and the Caribbean have the most amount of variation within their countries between GDP and expected years of schooling.

Key Insights

  • Most Educated Countries: Parts of Europe, Australia, and Argentina
  • Countries with More Women Educated than Men: North America (U.S., Canada), Australia, and South America
  • Countries with More Men Educated than Women: Much of Africa
  • Countries where Education is Most Equal by Gender: Russia
  • Undergoing Education has been steadily increasing from 1970 to 2022, with the disparity between genders starting to disappear in 2013. At present, women are slightly more educated than men globally.
  • A higher GDP is typically associated with a larger amount of expected schooling in its respective country.

Conclusion:

This data allows us to gather intel on specific reforms in healthcare, education access, and economic opportunities based on HDI rankings relative to the rest of the world to reduce regional and gender disparities. We may choose to especially target Sub-Saharan Africa and South Asia given their very low HDI ranking, although the data may also be used to identify and further the develop of middle-ranking countries as well as to sustain and measure progress rate in highly developed countries. It may be used to identify where correlation trends, such as between GDP and expected schooling may fall short, as in North America, which could indicate a need for policy reform. This information may also be used to bridge the gap in gender and poverty-based inequalities. This information may be used to further political parties or non profit agendas and enact change. It could be used by international organizations such as the UN and World Bank, as well as private organizations and nonprofits. Possible health campaigns that could result may include vaccination campaigns, birth control/child care, and clean water, affordable housing, insurance programs. Possible education improvements may include further development of primary and secondary education programs in developing countries with lower HDI. Comparing birth and death rates may between countries may indicate challenges such as a larger aging population in more developed countries due to low birth rates and longer lifespans, or countries with more stable populations. Higher life expectancy often correlate with more developed healthcare and economic infrastructure. Other influences include lifestyle, political policy, enivronmental conditions, and socioeconomic considerations.